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Corporate Governance and Earnings Management in Latin American markets

        Jesus Alfonso Saenz Gonzalez                         Emma Garcia Meca
         Profesor Investigador UACJ                        Profesora Titular UPTC

Abstract:

   We use panel data to examine the relationship between the internal mechanisms of

Corporate Governance and Earnings Management measured by discretionary accruals in

companies listed on Latin American markets. Our results show how the Board dimension

creates problems of communication and coordination that reduce the oversight over the

management team, increasing earnings management. Also, we point out how in the Latin

American context the role of external directors is limited and those Boards that meet more

frequently takes a more active position in the monitoring of the insiders, showing a lower use

of manipulative practices. In addition, we find a non-linear relationship between insider

ownership and discretionary accruals, also pointing out that ownership concentration may be

a manipulative practices constrictor mechanism only when the ownership of main

shareholders is moderate. These results support the general opinion that the full application

of the Anglo-Saxon corporate governance model to a continental institutional setting is

inappropriate. In addition, the findings have important policy implications since it is, to the

best of our knowledge, the first study to analyze the relationship between the effectiveness of

the government and the earnings management behaviour. We document how when a country

implements controls aimed to reduce corruption, to strengthen the rule of law or to improve

the effectiveness of government, it leads to reduce earnings management. These data would

provide useful information for testing complementarities between low-quality financial

accounting regimes and quality control mechanisms to promote economic efficiency.

Key Words: Board of Directors; Corporate Governance; Corruption; Discretionary Accruals;

Ownership Structure; Stock Markets.


                                                                                           1
1. Introduction

   In recent years, large accounting fraud uncovered in the stock markets has once again

confirmed the importance of transparency and reliability of financial information provided to

markets. It is no coincidence that this lively interest in accounting issues is accompanied by a

significant concern for good governance. The regulatory response to financial scandals has

been taking measures to protect information transparency, mitigate conflicts of interest and

ensure the independence of auditors, all in order to protect the investors interests’ and increase

the confidence of capital markets.

   Thus, the strong pressure that capital markets exert on managers is an important condition

that can motivate them to engage in manipulative practices, to the point of being willing, as

shown by Graham et al. (2005), to sacrifice the value to meet investor expectations and live

up to forecasts by analysts tagged. For this reason, the accounting function should enjoy

adequate protection, and hence the corporate governance (CG) practices stand as a guarantee

of its integrity, improving the quality and transparency of financial statements1 (Johnson et

al., 2002; Garcia Osma & Gill de Albornoz, 2005; Biddle & Hilary, 2006; Biddle et al.,

2009). Thus, the establishments of internal governance processes are essential to maintain the

credibility of firms’ financial information and safeguarding against earnings manipulations

(Dechow et al., 1996). A weak governance structure may provide an opportunity for managers

to engage in behaviour that would eventually result in a lower quality of reported earnings.

This opportunistic behaviour of managers can be explained by agency theory, given the

separation between ownership and control in a firm, managers may act to maximize their own

wealth at the expense of shareholders’ wealth (Jensen y Meckling, 1976; Fama, 1980)

   Thus, from the studies published by Jensen & Meckling (1976) and Fama & Jensen

(1983), it is assume that both, the role of board of directors and ownership structure, are

crucial in monitoring managerial activity, capable of reducing agency costs resulting from the


                                                                                              2
alignment of ownership and management interests. Thus, several studies documented a

significant relationship between the characteristics of the board of directors and the integrity

of accounting information (Klein, 2002; Xie et al., 2003; Anderson et al., 2004; Peasnell et

al., 2005; Karamanou & Vefeas, 2005; Saleh et al., 2005; Ahmed et al., 2006; Bradbury et al.,

2006; Cheng et al., 2006; Rahman & Ali, 2006; Patelli & Prencipe, 2007; Hashim & Devi,

2008). Regarding to the ownership structure, previous studies analyzed the effect of the

internal ownership and shareholding concentration held by major shareholders on the quality

of financial results, either individually as a proxy for ownership structure or along with the

participation of managers as a distinct dimension of that structure (Wartfield et al., 1995;

Short & Keasey, 1999; Demsetz & Villalonga, 2001; Fan & Wong, 2002; Yeo et al., 2002;

Han, 2004; Lefort, 2005; Kim & Yi, 2006; Price et al., 2006). All these studies related mainly

to Anglo-Saxon countries, where outsides investors are well-protected by the legal system

(e.g. United Stated, United Kingdom) and the level of transparency is high, most listed firm’s

present widely-held ownership structures. In this setting, the main agency conflict stems from

the divergence of the interests between managers and shareholders (Jensen & Meckling,

1976).

   The results documented by La Porta et al. (1998, 2000), Leuz et al. (2003), Kim & Yi

(2006) reveal that the manipulative practices are higher in economies with less developed

stock markets, with more concentrated ownership structures and weak investor protection

laws. In the Latin American context, the ownership structure of listed firms is characterised

by high levels of concentrated ownership where many firms are directly controlled by one of

the industrial or financial conglomerates that operate in the region (Khanna & Palepu, 2000;

Lefort, 2003; Lefort & Walker, 2005, 2007; Lopez & Saona, 2005; Cespedes et al., 2008), by

the use of pyramidal structures that enable controlling shareholders to separate their voting

and cash flow rights (Mendes & Mazzer, 2005), and by the notable presence of family groups



                                                                                            3
among such owners (La Porta et al., 1999; Castañeda, 2000a, 2000b; Rabelo & Coutinho,

2001; Santiago et al., 2009). Moreover, the control exerted by these family owners is not

usually limited solely to their participation in the firms’ ownership since they usually play an

active role in management (La Porta et al., 1999; Castillo-Ponce, 2007). In that regard, a

lower separation between ownership and control shift the main agency conflict to the possible

expropriation of minority shareholders by controlling owners (La Porta et al., 2000; Lefort,

2005, 2007; Saona, 2009).

   According to the approaches set out, this paper have the main objective to analyze the

relationship between the internal mechanisms of CG and earnings management (EM) in firms

listed on Latin American stock markets, specifically, in the markets of Argentina, Brazil,

Chile and Mexico, during the period 2006 to 2009. These countries have not been strangers to

the initiatives of practically all Western countries since the promulgation in 2000 of the

Sarbanes-Oxley in the U.S. and it seems appropriate to verify empirically the effects of CG

mechanisms such as ownership structure and board of directors on EM in these countries,

where both the predominant agency conflict and the institutional environment differ from

those in the Anglo-Saxon and Continental European markets.

   In addition, according to Boyd & Hoskisson (2010) the nature of institutional country

effects in which firms are embedded shapes their governance. Thus, by using a government

index proposed by previous literature we will test if those countries that control corruption,

have a stronger rule of law and higher effectiveness of their government, reduce the EM

behaviour.

   We define EM in terms of ‘absence of manipulative practices’. This is because the

intentional manipulation of earnings by managers may reduce the usefulness of earnings to

the overall users (Velury & Jenkins, 2006; Dechow et al., 2010; Matis et al., 2010). Earnings

that are persistence and predictable may not be of high quality if this results from EM


                                                                                            4
(Dechow & Schrand, 2004). We use the modified version of Jones (1991) proposed by

Dechow et al. (1995) and which has been used in other studies such as Teoh et al. (1998), Xie

et al. (2003) and Francis et al. (2008) to determine the discretional accruals. Thus, we use the

absolute value of discretionary accruals [Abs (DCA) it] as a measure of the degree of EM.

This is consistent with previous studies on EM who pointed out that the study of the quality of

results does not impose any direction or sign on the expectations of EM (Wartfield et al.,

1995; Klein, 2002; Gabrielsen et al., 2002; Bowen et al., 2004, 2008; Van Tendeloo &

Vanstraelen, 2005; Wang, 2006; Chen et al., 2007; Barth et al., 2008).

   This study contributes to the growing body of literature related to CG in the following

ways. First, it extends the very limited research on the relationship between CG and EM in

Latin America and provides a more comprehensive picture of this association. Second, it

provides further evidence by analyzing the empirical evidence in a Latin American context,

where the boards of directors, legal investors’ protection, the presence of reference investors’

and the threat of corporate takeover differs substantially from other regions of the world,

especially in those countries with developed markets. Third, our study extends the literature to

ethical aspects that are scarce and have not been tested yet in the relationship between internal

mechanisms of CG and EM in Latin America, such as corruption, rule of law and government

effectiveness. In this way, we include a proxy that represents the country governability level

(government index). This is because corruption is prevalent in emerging countries, affecting

the effective function of governments and economies (Gill & Kharas, 2007; Aidt, 2009). The

implementation of controls aimed to reduce the corruption, to strengthen the rule of law or to

improve the effectiveness of the government in a country could lead to reduce an

opportunistic behaviour and, consequently, could reduce the EM practices in firms.

   On the other hand, the analysis of the relationship between CG and EM in Latin American

markets is motivated mainly, because several studies have investigated the use of


                                                                                             5
discretionary accruals in developed market such as the U.S. (DeFond & Jiambalvo, 1991;

Wartfield et al., 1995; Dechow et al., 1996; Chung et al., 2002; Klein, 2002; Rajgopal et al.,

2002; Xie et al., 2003; Bowen et al., 2004; Cornett et al., 2008), the UK (Peasnell et al., 2000,

2005) and Australia (Koh, 2003; Davidson et al., 2005; Hsu & Koh, 2005; Wan et al., 2007).

However, very little research has looked at the relationship between CG and EM in emerging

markets, such as Latin American (Lopez & Saona, 2005; Price et al., 2006; Castrillo & San

Martin, 2007; Teitel & Machuga, 2008). It is possible that in an emerging country, the

mechanisms of CG are not as effective as in a developed country because of the different

institutional environment (Gaio, 2010, Gaio & Raposo, 2011) such as a weaker market for

corporate control (Gibson, 2003; Lins, 2003), more concentrated ownership (Khanna &

Palepu, 2000; Lefort, 2003; Lefort & Walker, 2005, 2007; Lopez & Saona, 2005; Cespedes et

al., 2008), significant family ownership (Castañeda, 2000a, 2000b; Rabelo & Coutinho, 2001;

Santiago et al., 2009) and ineffective shareholder right protection (La Porta, 1998, 2000; Leuz

et al., 2003; Lefort, 2007). Additionally, boards of directors in Latin American firms are not

as independent as those in developed countries, making less effective in monitoring the

decisions taken by managers (Spencer Stuart, 2000; Santiago & Baek, 2003; Lefort, 2005;

Helland & Sukuta, 2005). Given these institutional factors, the results of our study may not be

similar to those found for developed countries.

   In this case, our study fills a gap in the existing literature by examining the effectiveness

of how internal mechanisms of CG (ownership structure and board of directors) constrict

manipulative practices in Latin American firms. Also, as this study was conducted on a large

sample of firms over a reasonable time frame, we believe that our findings capture a strong

picture of the relationship between internal mechanisms of CG and EM in Latin America.

   The remainder of the paper has the following organization: in section 2, the study

hypotheses are developed; in section 3, we present the design and research methodology; in


                                                                                             6
section 4, we shows the statistical results; in section 5, we discusses the results, the limitations

and future lines of research and; finally, in section 6 we present the main conclusions of our

study.

2. Previous literature and development of hypotheses

2.1. Ownership structure

   The ownership structure is an internal control mechanism that focuses on the aspects that

define the ownership of the company and refers to the manner in which titles or rights of

representation redistribute the capital of the firm in one or more individuals or legal entities.

In this sense, Demsetz (1983) indicates that ownership structure is just a reflection of the

existing balance between preferences that have the owners and top management team. Thus,

the monitoring power derived from the ownership structure resulting in a kind of control

exercised over the company and, particularly, over the top management team. The final

control is given by the distribution of ownership and the capability of any owner or group of

them to influence in the decisions taken.

   In this way, several studies have shown that ownership structure is a natural monitoring

mechanism that exerts great control over the performance, discretionary and remuneration of

the top management (Short, 1994; Zajac & Westphal, 1994). Thus, previous studies mainly

focuses on the effect of insider ownership over the EM (Sanchez-Ballesta & Garcia-Meca,

2007; Teshima & Shuto, 2008), analyzing how the managerial ownership influence over the

informativeness of earnings (Wartfield et al., 1995; Gabrielsen et al., 2002; Yeo et al., 2002)

or, in conjunction with ownership concentration (measured by the fraction of ownership held

by major shareholders or by the proportion of ownership held by the main shareholders of the

firm), showing how that monitoring of owners improves the quality of managerial decisions

and, consequently, the firm value, since the existence of substantial block holders leads to a

closer monitoring of management, implying a lower opportunity for EM (McConnell &

                                                                                                7
Servaes, 1990; Agrawal & Knoeber, 1996; Demsetz & Villalonga, 2001; De Miguel et al.,

2004; Boubraki et al., 2005; Sanchez-Ballesta & Garcia-Meca, 2007). Thus, Yeo et al. (2002)

and De Bos & Donker (2004) shows that increased ownership concentration is an effective

CG mechanism in monitoring accounting decisions taken by management.

   However, Demsetz & Villalonga (2001) affirm that in order to treat ownership structure

appropriately and to account for the complexity of interest represented in a given ownership

structure, must be consider different dimensions of ownership structure, i.e. not only focus on

the insider ownership and ownership concentration. Following this suggestion, we analyze

apart of this two commonly dimensions examined by previous literature, two different

dimensions of ownership structure that previous literature also shown that could be an

effective CG mechanism in monitoring management decisions, capable to constricts

manipulative practices and, consequently, improving the earnings quality: family ownership

(Wang, 2006; Ali et al., 2007; Bona et al., 2008) and institutional ownership (Shleifer &

Vishny, 1997; Rajgopal et al., 2002; Chung et al., 2002; Balsam et al., 2002; Jiambalvo et al.,

2002; Koh, 2003; Han, 2004; Ferreira & Matos, 2008; Ruiz et al., 2009; Ferreira et al., 2010).

The next sections describe the development of the hypotheses related to the four ownership

structure variables examined in our study.

2.1.1. Internal ownership

   The hypotheses about the influence that the ownership structure has on the value of the

firm, justified mainly through the Agency Theory, have been extended to other aspects of

company information, such as EM. Therefore, Agency Theory suggests that when managers

are not owners of the entity that they lead or have a low equity stake on it, their behaviour is

affected by self-interest that away goals of maximizing corporate value and, therefore, of the

interest of shareholders, which facilitates EM (Jensen & Meckling, 1976; Fama, 1980; Fama

& Jensen, 1983; Healy, 1985; Holthausen et al., 1995). In contrast, if managers have a certain


                                                                                            8
proportion of their wealth materialized in shares of the company that they lead, at most

directly affect their personal wealth on the decisions taken will tend to align, to a greater

extent, their interests with other shareholders (convergence of interests’ hypothesis) and show

less discretionary behaviour (Chaganti & Damanpour, 1991; Mehran, 1995; Alonso & De

Andres, 2002; Minguez & Martin, 2003). However, excessive internal ownership may also

have an adverse effect on the company, because the higher power of the managers could lead

them to take accounting decisions that reflect personal reasons, affecting the goal of

maximizing the value of the company (Yermack, 1997; Aboody & Kaznik, 2000). In line with

this, Weisbach (1988) and Fernandez et al. (1998) point out that managers could use the

higher power contained by their shares to avoid be removal in case of inefficient behaviour. In

this way, arise the entrenchment hypothesis pointed out by Fama y Jensen (1983), which

established that high levels of internal ownership could lead to a greater EM by managers

(Cornett et al., 2008). Therefore, Yeo et al. (2002) concludes that the informativeness of

accounting results increases with low levels of internal ownership, while for high levels, the

internal ownership is not sufficient as alignment interest’s mechanism (Mork, et al., 1988;

Wartfield et al., 1995; Sanchez-Ballesta & Garcia-Meca, 2007).

   In Latin American context, Santiago et al. (2009) for a sample of listed companies in

Brazil, Chile and Mexico, found that a small number of insiders owns shares of companies,

making this group unable to exert a great influence on decisions and strategies taken by the

board of directors. This suggests an agency problem, because the internal directors' interests

seem not aligned with the interests of the other shareholders (convergence of interests’

hypothesis), that could increase the likelihood of managers to use manipulative practices for

their own benefit (Koh, 2003; Bowen et al., 2004; LaFond & Roychowdhury, 2006), reducing

the quality of the information issued by companies in Latin America (Lopez & Saona, 2005).

However, Machuga & Teitel (2009) who analyzing earnings quality surrounding the



                                                                                           9
implementation of Code of Best Corporate Practices for a sample of Mexican listed

companies, found that firms with a fewer internal ownership shows a greater earnings quality

compared to those firms that not have managerial ownership, i.e. shows less manipulative

practices by managers.

   Therefore, the argument that insider ownership constrains the opportunistic interest of

managers suggests a negative relation between the proportion of shares held by insiders and

the absolute value of discretionary accruals. Nevertheless, the argument that high levels of

insider ownership can become ineffective in aligning insiders to take decisions that

maximizes the firms value, suggests a positive relation. Similarly, although the convergence

of interests’ hypothesis suggests a positive association between the informativeness of

earnings and insider ownership, the entrenchment hypothesis leads to a negative relationship,

suggesting that when accountings numbers are less informative in measuring the firm

performance, high managerial ownership is likely organizational response. In this way, we

address the competing views by testing the following unsigned hypothesis:

   H1: The insider shareholding affects earnings management.

2.1.2. Ownership Concentration

   The degree of ownership concentration is an important factor because it helps to overcome

the problem of the lack of incentives for monitoring. Several studies shows the importance of

concentrated ownership structures in which one or a few major shareholders exert a

highlighted level of control on listed companies (Demsetz, 1983; Shleifer & Vishny, 1986; La

Porta et al., 1998; Lefort & Walker, 2000; Han, 2004; Lefort, 2005; Sanchez-Ballesta &

Garcia-Meca, 2007; Cespedes, 2008). The basic idea lies in that large shareholders has

incentives to take responsibility and cost involved in the monitoring of managers, unlike small

shareholders who tend to adopt a passive attitude in defence of their interest.




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In this way, large shareholders play a key role on internal control of companies, because

the volume of participation encouraged them to monitoring and influence in the strategy of

the firm where they have invested (Fernandez et al., 1998; Yeo et al., 2002; Gabrielsen et al.,

2002). This means that a greater ownership concentration should conduct, in accordance with

the efficient monitoring hypothesis (Jensen & Meckling, 1976), to a less opportunistic

behaviour and a greater tendency to maximization the value of the firm (Fama, 1980; Fama &

Jensen, 1983), having a positive impact on the informativeness of accounting earnings, since

when increasing the participation of the controlling shareholder reduce the incentives of this

owner to expropriate the wealth of minority shareholders (McConnell & Servaes, 1990;

Agrawal & Knoeber, 1996; Demsetz & Villalonga, 2001; De Miguel et al., 2004; Boubraki et

al., 2005). In this sense, De Bos & Donker (2004) point out that increased ownership is an

effective CG mechanism in monitoring accounting decisions taken by management that

implies a higher earnings quality and a strong positive effect on earnings informativeness

(Yeo et al., 2002).

   However, when the level of ownership concentration is too high it can lead to agency

problems due to the expropriation of the minority shareholders’ interests (La Porta et al..

1998, 2000, 2002, Leuz et al., 2003; Boubraki et al., 2005; Lefort, 2007). In this way, arise

the entrenchment effect formulated by Morck et al. (1988), based on the influence of the

controlling shareholder over the information provided by company to the market (Zingales,

1994; Shleifer & Vishny, 1997; Sanchez-Ballesta & Garcia-Meca, 2007), where the external

investor will put scant attention to financial data, because he expects it to remain objective, to

a greater extent, the particular interests of the majority owner rather than a true reflection of

the economic consequences of transactions made by the company (Fang & Wong, 2002).

   In Latin America there are two important aspects that characterize the structures of

ownership and corporate control: first, companies shows a high degree of ownership


                                                                                              11
concentration and, second, many firms are directly controlled by one of the industrial or

financial conglomerates that operate in the region (Khanna & Palepu, 2000; Lefort, 2003;

Lefort & Walker, 2005, 2007; Lopez & Saona, 2005; Cespedes et al., 2008). In their studies,

Santiago et al. (2009) and Saona (2009) for a samples of companies in Chile, Brazil and

Mexico, found that 96% of Chilean companies are affiliated to a conglomerate, followed by

72% of Brazilian companies and 57% of Mexican firms. Usually, the majority shareholder

holds the power of the conglomerates through complex structures of ownership, called

pyramids2. The problem with pyramidal structures is that they allow a phenomenon known as

tunneling3, whereby the last shareholder can divert resources among different companies of

the pyramid, of course in their own benefit, hiding the true structure of the company and

distorting the relationship between ownership and control (Shleifer & Vishny, 1997; Bertrand

& Mullainathan, 2002; Mendes & Mazzer, 2005). This type of governance structure can infer

on the quality of the financial results of companies in Latin America, increasing EM.

   Therefore, the argument that a greater ownership concentration should conduct, in

accordance with the efficient monitoring hypothesis, to a less opportunistic behaviour and a

greater tendency to maximization the value on the firms’ informative quality of accounting

earnings, suggests a negative relation between the proportion of shares held by large

shareholders and the absolute value of discretionary accruals. However, the argument that

high levels of ownership concentration can lead to agency problems due to the expropriation

of the minority shareholders’ interests, in accordance with the entrenchment effect, suggests a

positive relationship. In this way, we address the competing views by testing the following

unsigned hypothesis:

   H2: The ownership concentration affects earnings management.

2.1.3. Family Ownership

   The Agency theory assumes that moral hazard problems are lower in companies with

                                                                                           12
concentrated ownership structures, given the incentives and the greater ease with which the

big shareholders can monitor the management team. If the companies management is in hands

of the owners, as usually occurs in family firms, will tend to eliminate the agency problem

that arises from the separation of ownership and control, achieving greater alignment of

interests between shareholders and management, resulting in a higher value creation in the

company through the benefits arising from the increased monitoring (Shleifer & Vishny,

1986).

   In this sense, several studies have shown how certain distinctive characteristics of family

firm have a positive impact on corporate behaviour. More specifically, in their study of a

sample of 500 US firms between 1992 and 1999, Anderson et al. (2003) reveal that family

firms achieve higher levels of performance than non-family firms. This result would be

justified by certain characteristics associated with family nature of the firm, such as it long-

investment horizons and its reputation concerns. In this sense, compared with other types of

owners, families are interested in remaining in the firm over a long period time, so they are

more prone to make investments that maximize value in the long term (Anderson & Reeb,

2003; Jaggi et al., 2009). Thus, a family owner would tend to have incentives to follow

market rules when making decisions, since the firm is not considered a resource to be

consumed during the owner’s lifetime but rather an asset to be transferred to his/her heirs in

the future (Dyer, 2003). Therefore, the firm’s survival becomes a “family matter” in this type

of enterprise. Furthermore, Anderson et al. (2003) suggest that the long-term ties typical of

the family owner mean that external agents, such a supplier or lenders, develop their business

with the controlling family over a long period of time. This leads to those external agents

perceiving a “family reputation” that has economic consequences that last not only for

owners’ lifetime, but throughout the lives of his/her heirs.

   On the same lines, Wang (2006) and Ali et al. (2007) states that long-term orientation and


                                                                                            13
reputation concerns means that family firms do not act opportunistically in reporting earnings,

such those actions that are more in line with a short-term orientation. These authors uses these

arguments to offer possible explanations for the result obtained in his study using a sample of

U.S. firms and concludes that family firms provide better earnings quality than non-family

firms, leading to reduced managerial discretion that results in better performance of the

companies (Anderson et al., 2004).

   At this point, it could be concluded that compared with non-family firms, controlling

family firms would tend to maximize the firm’s wealth in the long term. Thus, there would be

fewer incentives to obtain private benefits at the expense of minority shareholders, which in

turn could result in a higher earnings quality (Bona et al., 2008). However, Wang (2006) and

Ali et al. (2007) also point out that one of the main limitations that have their studies is the

difficulty to extend their results to other settings where there is a lower protection of minority

shareholders, and consequently, more concentrated ownership structures such as Latin

American context. This is because the presence of concentrated ownership structures and the

presence of family groups may trigger other problems of CG. In this sense, when there are

large shareholders on firms it is more likely to arise conflicts of interests between these parties

and the minority shareholders. In family firms, given their greater information asymmetries,

the likelihood of expropriation of corporate resources is high, including the likelihood of

entrenchment of unskilled family management team (Mcvey et al., 2005; Sacristan & Gomez,

2007).

   According with this argument, Castrillo & San Martin (2007) for a sample of Mexican

companies, studying the relationship between ownership structure and the board of directors

with managerial discretion, finding that family ownership and the level of corporate leverage

explain the degree of discretion that managers have to manipulate accounting numbers in

Mexico. They also point out that the high concentration of family ownership is a mechanism


                                                                                               14
usually used to align the interest of the company in benefit of the majority shareholder, in

detriment of minority shareholders. Other studies conducted on Latin American context such

as Castañeda (2000a, 2000b) and Rabelo & Coutinho (2001) shows that a high family

participation exerts a decisive influence on the control of companies, where the owners

usually issued non-voting shares and develop pyramidal ownership structures to obtain funds

without dispersing their capacity to control the companies. According to previous arguments,

it could be argued that the greater concentration of voting rights could entail greater

incentives for controlling shareholders to obtain private benefits, i.e. increasing EM (Bona et

al., 2008).

    In this respect, some studies have provided evidence on the expropriation actions carried

out by family groups. DeAngelo & DeAngelo (2000) shows how the controlling family of a

large North American firm cut dividends to minority shareholders while paying itself a special

dividend. Similarly, drawing on data based on a entire population of Spanish newspapers

Gomez-Mejia et al. (2001) analyze the role that family relations play in agency contracts and

provide evidence of the entrenchment of the chairman of the board when he/she has a family

ties with the controlling shareholders. In those circumstances, controlling shareholders would

have incentives to manipulate the accounting information in order to avoid the cost associated

with the detection of this kind of behaviour (Fan & Wong, 2002; Haw et al., 2004; Francis et

al., 2005; Santana et al., 2007). In this way, Fan & Wong (2002) states that, when an owner

effectively controls a firm, she/he also controls the production of the firms’ accounting

information and reporting policies.

    Therefore, the argument that a greater family ownership should conduct to a positive

impact on corporate behaviour, justified by certain characteristics associated with family

nature of the firm such as it long-term investment horizons and its reputation concerns,

leading to reduced managerial discretion that results in a better performance of the firms,


                                                                                           15
suggests a negative relation between the proportion of shares held by family owners and the

absolute value of discretionary accruals. However, the argument that high levels of family

ownership can lead to agency problems due to the expropriation of the minority shareholders’

interests, suggests a positive relationship. In this way, we address the competing views by

testing the following unsigned hypothesis:

   H3: The family ownership affects earnings management.

2.1.4. Institutional Ownership

   The literature review carried out related to the influence of institutional ownership on EM,

reveals the existence of two conflicting views regarding the general role of institutional

investors in the companies. On one hand, Porter (1992) and Bhide (1993) argue the

fragmented ownership that usually have these institutional investors and the frequency of

trading investments, does not actively engage in CG of companies that are part of their

portfolios. Furthermore, Bushee (1998) and El-Gazzar (1998) argue that institutional investors

plays an active role in controlling managerial discretion and improve the efficiency of

information in capital markets, being sophisticated investors with advantages to acquire and

process information (Balsam et al., 2002; Jiambalvo et al., 2002; Koh, 2003; Han, 2004;

Ferreira & Matos, 2008; Ruiz et al., 2009; Ferreira et al., 2010), limiting the opportunism and

promoting the reduction of agency costs (Shleifer & Vishny, 1997; Rajgopal et al., 2002;

Chung et al., 2002). In this way, Koh (2003) and Hsu & Koh (2005) proposed that the role of

institutional investors in firms can be approximated considering the level of participation of

the institutional shareholders in them, i.e., that institutional ownership may act as a

governance mechanism that affects the EM based on the level of their participation. In

concrete, low levels of investor participation is assimilated to temporary or short-term view,

whereas when the level of participation increases, the institutional investor is assimilate as an

investor more engaged with the company, and hence, involved in the resolution of conflicts


                                                                                             16
that may arise therein.

   In Latin America context, Lefort (2005) pointed out that institutional investor have an

important role in CG of companies. The early reform of the pension funds in Chile, followed

later by Argentina, Colombia, Peru and Mexico, gave to institutional investors an important

role as providers of capital and prompted several changes to the laws of capital markets in the

region, helped to substantially improve the protection of minority shareholders (Iglesias,

2000), given the nature of funds administered and their political influence. In this way,

Walker & Lefort (2001) shows that the participation of institutional investors create a more

dynamic legal framework in capital markets using good CG practices that improves

transparency of accounting information, reducing the cost of capital in firms.

   Therefore, the argument that a higher institutional ownership should conduct to a positive

impact on corporate behaviour, because the managers would be discouraged to make EM due

to the pressure from institutional investors to focus in long term, suggests a negative relation

between the proportion of shares held by institutional owners and the absolute value of

discretionary accruals. However, the argument that low levels of institutional ownership could

lead to managers to manipulate accountings numbers, due to the short-term vision and the

preference for short-term gains, suggests a positive relationship. In this way, we address the

competing views by testing the following unsigned hypothesis:

   H4: The institutional investors affect earnings management.

2.2. Board of Directors

   The board of directors is the governance body in which shareholders delegate the

responsibility to oversee, compensate and substitute managers, as well as to approve major

strategic projects, and therefore plays a key role in the overall oversight of the company and

the monitoring of top management, in particular (Jensen & Meckling, 1976; Jensen, 1993;



                                                                                            17
John & Senbet, 1998; Daily et al., 2003; Chatterjee et al., 2003). In this way, the board of

directors is an essential element of CG and is considered the main internal mechanism to

reduce agency conflicts, either between managers and shareholders or between majority and

minority shareholders (LaFond & Roychowdhury, 2006; De Andrade et al., 2009).

   The CG literature shows different characteristics that may influence in the effectiveness

with which the boards monitor the performance of managers in firms (John & Senbet, 1998;

Rahman & Ali, 2006). In this sense, this influence depends on the ability of control that exert

the board over the top management (Brick et al., 2005), which can be affected by aspects such

a number and type of directors (Karamanou & Vafeas, 2005), the ownership structure of the

firm (Kim & Yi, 2006), the quality of CG system (Gibson, 2003), the activism of institutional

investors (Koh, 2003), the CEO duality or concentration of power (Saleh et al., 2005; Hashim

& Devi, 2008), the existence of specific committee (Klein, 2002; Goodwin & Kent, 2006), the

presence of a hostile takeover market or the existence of a competitive labour market (Brick et

al., 2006; De Andrade et al., 2009). Although, according to Fernandez et al. (1997), most of

the previous CG literature discusses two mainly characteristics or variables that influence the

monitoring capabilities of boards: its independence and size. In this way, a part of these two

characteristic, we analyze its activity and the CEO duality or concentration o power. The next

sections describe the development of the hypotheses related to the four board characteristics

examined in our study.

2.2.1. Board Size

   Studies such as Davila & Watkins (2009) in Mexico and Ferraz et al. (2011) in Brazil,

found that if the size of Board is very small the monitoring of the management team is smaller

too, so they tend to a greater discretion to receive a higher remuneration, a greater chance of

EM and a more likely to information asymmetry (Fernandez et al., 1998; Azofra et al., 2005;

Brick, et al., 2006). Thus, a larger size of board assumes a better supervision of the


                                                                                           18
management team and a higher quality of corporate decisions (Pearce & Zahra, 1992). In this

sense, Chin et al. (2006) for a sample of 313 firms from Hong Kong, found a negative

relationship between the size of the board and EM, concluding that a larger board fewer are

the manipulative practices made by the management of companies.

   However, excessive size can be an obstacle for quick and efficient making decisions, due

to problems of coordination and communication. In this sense, Santiago & Brown (2009) in a

sample of 97 companies in Brazil, Chile and Mexico, found a positive relationship between

the size of the board and EM. This indicates that the low separation between ownership and

control that exists in Latin American companies assumes that a larger size of the board the

levels of monitoring over the management team decreases, so it increases the risk of

expropriation by controlling shareholders and the propensity to the discretion of the board

members to establish a higher level of remuneration and manipulate the results of companies

for their own benefit (Jensen, 1993; Yermack, 1996; Fernandez et al., 1997; Eisenberg et al.,

1998; Sanders & Carpenter, 1998; Core et al., 1999; Thomsen, 2008). In line with this, Xie et

al. (2003) for a sample of 110 U.S. companies, shows a positive relationship between size of

the board and EM, concluding that a larger size of board greater are the manipulative

practices made by the management of companies. Finally, Bradbury et al. (2006) in a sample

of companies in Malaysia and Singapore found no relationship that links the size of the board

with the EM. Since we do not can say that there is a conclusive position about the effects that

board size might have on the quality of results in companies, we formulate the following

unsigned hypothesis:

   H5: The board size affects earnings management.

2.2.2. Board Independence

   Because previous CG literature shows that independence is often considered as a

substitute for transparency and disclosure of annual reports, recommending that a number of

                                                                                           19
external members in board of directors are greater than the owners, for there to be more

oversight of management and to maximize the value of the organization (Zattoni & Cuomo,

2010; Ferraz et al., 2011). This suggests that the degree of board independence is directly

related to the quality of information that firms issues (Cheng & Courtenay, 2006). Also, CG

literature affirmed that a greater degree of board independence provides more control over the

development of company activities and a better defence of the issue of information as a

mechanism to carry out processes of accountability to different groups of business interest,

because the external directors are not linked to the management of the entity (Willekens et al.,

2005; Karamanou & Vafeas, 2005; Cheng & Courtenay, 2006). Thereby, seeks fairness in the

strategic decisions taken by the board and effective monitoring of the decisions and activities

of managers, thus ensuring transparency of information and proper image on the outside of

organizations (Chen & Jaggi, 2000; Patelli & Prencipe, 2007). Furthermore, several studies

provide empirical evidence relating to the role of external directors on the constriction of EM,

documenting that a higher proportion of external directors, greater and better will be the

quality of financial information that is issued by firms, reducing the chances of EM (Klein,

2002; Xie et al., 2003; Peasnell, 2005; Davidson et al., 2005; Garcia-Osma & Gill de

Albornoz, 2005, 2007; Bradbury et al., 2006; Jaggi et al., 2009).

   However, Park & Shin (2004) argues that transparency of information and effectiveness in

containing manipulative practices may be seriously compromised by the type of CG and,

particularly, by the high ownership concentration that could neutralize performance of the

external directors. In this way, the Securities and Exchange Commission (SEC) of the United

States noted that in Latin America, given the widespread use of pyramidal structures and the

high degree of participation that have the controlling shareholders in the daily activities of

Latin American firms, generally the boards of directors are mainly integrated by internal

directors, who tends to be associated with the majority shareholders and/or control groups,



                                                                                            20
making boards less effective in monitoring the decisions taken by managers opposed to those

boards that have a majority of external directors4 (Santiago & Baek, 2003; Lefort, 2005;

Helland & Sykuta, 2005). In this sense, external directors have a very limited participation

that facilitates the EM and managerial discretion (Silveira et al., 2003; Schiehll & Santos,

2004).

   Nevertheless, most recent studies such as Price et al. (2006, 2007), Teitel & Machuga

(2008), Chong et al. (2009), Davila & Watkins (2009) and Ferraz et al. (2011) shows that

legal framework in capital markets (such a Code of Best Corporate Practices) forced Latin

American firms to include more external directors, allowing to improve the way that firms

disclosed their financial information, showing a greater transparency in their reports and

decreasing the chances of EM. By the above, we formulate the following hypothesis in the

sense that it could be expecting a possible negative association between the degree of board

independence and EM:

   H6: The boards independence affects negatively on earnings management.

2.2.3. Board Activity

   Another characteristic related to the board of directors is its activity, measured by the

number of meetings, since its size and independence are necessary but not sufficient. Thus,

Adams (2003) and Garcia Lara et al. (2009) suggest that the number of meetings is a good

proxy for the directors’ monitoring effort. As Menon & Williams (1994) notes, boards that do

not meet, or meet only a few numbers of times, are unlikely to be effective monitors. In this

way, Eguidazu (1999) argues that it is also essential that the boards being active and

understand its task as a continuous process, and empirically Vafeas (1999) has demonstrated

the existence of a direct relationship between the board activity and the profitability of the

firm. In consequence, is possible that boards with more engaged on their duties take a more

active stance in order to safeguard the quality of accounting information, so hopefully, in

                                                                                          21
principle, a negative relationship between the board's activity and EM (Monterrey & Sanchez,

2008). An opposing view is that board meetings are not necessarily useful because routine

task absorb much of limited time that directors and CEO’s spend together to set the agenda

for board meetings (Lorca et al., 2011). By the above, we formulate the following hypothesis

in the sense that it could be expecting a possible negative association between the boards

activity and EM:

   H7: A greater number of board meetings influences negatively on earnings management.

2.2.4. CEO Duality

   It is understood that there is concentration of power in a company when the same person

takes charge of chief executive and president of the board. This assumption of power

increases, from the perspective of the Theory of Agency, the risk that the chief executive can

develop strategies that promote their personal interests (Jensen & Meckling, 1976; Jensen,

1986) encouraging the management team to adopt decisions for their own benefit without

considering the interests of owners and even develop actions against them (Cole et al., 2001;

Jensen & Zajac, 2004), which could create information asymmetries and conflicts of interest,

thus leading to inefficiency in CG (Fama & Jensen, 1983; Jensen, 1993). Furthermore, the

existence of duplicity of functions arises the illogical that the manager is controlled by

himself, i.e., has a greater power to influence members of the board of directors, which alters

the functioning of the company and the handling of the ownership structure of companies

(Cyert, 2002; Dahya & Travlos, 2002; Brick et al., 2006; Faleye, 2007; Ganga & Vera, 2008).

Also, CEO duality may damage the transparency of information of the company, raising the

possibility of the development and disclosure of fraudulent financial statements (Forker,

1992; Pi & Timme, 1993; Hashim & Devi, 2008).

   Some empirical studies developed in Latin America, shows that in practice is not fulfilled

with the separation of roles between the president and CEO, despite the recommendations of

                                                                                           22
the Codes of Good Governance, given the high concentration of ownership and control held

by families that produces an effect of entrenchment by the chairman of board of directors

when it maintains family ties with the major shareholders. In this sense, in Mexico, Castañeda

(2000b) found that in 85% of Mexican companies listed on the Stock Exchange in New York,

the majority owners presides the board of directors and also exerted the role of CEO.

However, Husted & Serrano (2002) argues that while in Mexican firms, the family retained

both functions, a group of them showed that the majority owner delegated the role of general

manager to a family member, which responds to succession process and the need to provide a

resource management of the business trust (Hoshino, 2004; Ruiz-Porras & Steinwascher,

2007).

   Also, Leal & Carvalhal (2005) in Brazil, through the application of surveys on a sample of

400 listed companies, documented that 36% of companies have concentrated power in the

same person. In Argentina, Chisari & Ferro (2009) for a sample of 100 listed firms, found that

75% of the corporations the chairman and CEO are the same person. This situation is not very

different in Chile, Lefort and Walker (2005) obtained similar results in a sample of 120 listed

companies, pointing out that only in 21% of corporations Chairman of the board is

independent, that is, not have duplication of functions between President-CEO, a situation

that is widespread throughout Latin America. By the above, we formulate the following

hypothesis in the sense that it could be expecting a possible positive association between the

CEO duality and EM:

   H8: The existence of concentration of power (CEO duality) increases earnings

         management.

2.3. Government Index

   While corruption is prevalent in emerging countries, there is increasing focus on the

degree of its predictability to affect the effective functioning of governments and economies

                                                                                           23
(Gill & Kharas, 2007; Aidt, 2009). Voliotis (2011) looked at different forms of organisational

corruption at the European Union; Galang´s (2011) study reviewed the corruption literature in

leading management journals while Dela Rama (2011) looks at how the CG of family-owned

business groups, deals with different forms of corruption in Asia. However, literature

regarding ethical aspects on Latin American countries is scarce and the effects on discretional

behaviour have not been tested yet.

   Thus, we use the Government Index (GOV_Index) taken from the research project

“Worldwide Governance Indicators” (WGI)6 proposed by Kaufmann et al. (2010) and

published by the world Bank7 between the periods 2006-2009. In this way, we integrated this

index using three mainly indicators that previous literature have shown as more important

factors to measure the way in which the governability of a country helps to reduce or even

increase the opportunistic behaviour in firms: Control of corruption, rule of law and

government effectiveness (Aidt, 2009; Voliotis, 2011; Galang, 2011). In this sense, low levels

of governability (a low index value) imply, generally, behaviours that affect the trust placed in

public officials and, therefore, undermine the basis of government trust (Shleifer & Vishny,

1993). The presence of corruption, the lack of confidence and respect of the agents in the

quality of contract enforcement, property rights, courts, as well as the ineffectiveness of

governments about the implementation and formulation of policies, increase the risk of the

entrepreneur, because people from outside value chain may have opportunistic behaviour and

take advantage of their profits, situation that is feasible due to the relatively high levels of

asymmetry information that characterize the economic activity (Anokhin & Schulze, 2008). In

addition, the corruption, the inefficiency of governments and a weak rule of law as well as

other weaknesses in the country infrastructure, increase transaction and agency costs, limiting

the income of the firms (Manzetti & Wilson, 2007) and, in consequence, increase the

opportunistic behaviour of firms. By contrast, control of corruption, a strong rule of law and a



                                                                                             24
effectiveness of government (a high index value) increase the chance that entrepreneurs

capture a larger portion of the revenues that they generate by increasing the reliability of cash

flows (Rose-Ackerman, 2001) and, consequently, reduce the opportunistic behaviour in firms.

Furthermore, in recent years Latin American countries have been made reforms to their legal

frameworks, modifying laws and established harder punishments to those persons who are

demonstrated a corruption practice. By the above, we formulate the following hypothesis in

the sense that it could be expecting a possible negative association between the government

index and EM:

   H9: A country with higher levels of governability shows a lower opportunistic behaviour,

       i.e. the firm’s shows lower levels on earnings management practices.

3. Design and Research Methodology

3.1. Sample and Data

   The sample is obtained from companies listed on the Mexican Stock Exchange (Bolsa

Mexicana de Valores), Santiago Stock Exchange (Bolsa de Comercio de Santiago), Stock

Market of Buenos Aires (Mercado de Valores de Buenos Aires) and the Sao Paulo Stock

Exchange (Bolsa de Valores de Sao Paulo) during the period 2006 to 2009. Financial

institutions are excluded, as is common in this type of studies because their particular

accounting practices. The accounting data on financial statements obtained through

Economatica database, while data on CG and ownership structure are obtained directly from

annual reports submitted by companies to the different regulatory agencies8 and which are

available in their Web site. In this way, we get information for 435 firms and a total of 1,740

observations by the period from 2006 to 2009. The composition of the sample allows the

combination of time series and cross sections with an adequate opportunity to take advantage

in the creation of a panel data, especially in the control of unobserved heterogeneity, i.e. the

individual characteristics of each entity that are not observable but affects the variables under

                                                                                             25
study (Arellano & Bover, 1991; Arellano, 1993; Himmelberg et al., 1999; Palia, 2001; Brick

et al., 2005). Additionally, since at present is widely accepted the idea of using unbalanced

panels with total observations is discarded the option of analyzing balanced panels with fewer

companies, because it may be conditioned by the survival bias (Baltagi & Chang, 1994).

3.2. Models and Variables Definition

   Because the intention of investigating the influence that CG mechanisms have on EM,

measured by discretionary accruals, we regress the absolute value of discretionary accruals

[Abs (DCA)it] on the variables of ownership structure, board of directors and control used in

previous literature, according to the following model:

Abs(DAC)it= Β0 + β1 (Int_OW ) + β2 (OW _Con) + β3 (Fam_OW ) + β4 (Inst_OW ) +

               β5 (Board_SIZE) + β6 (Board_I D) + β7 (Board_ACT) + β8 (CEO_Dual) +

               β9 (GOV_Index) + β10 (Control) + ηi + λt + υit

   The unobserved heterogeneity is controlled in the two models through individual effects

of companies (ηi). Also, we included dummy variables to control the temporal effects (λit)

and the error term (υit). As a proxy for internal property (Int_OWN) we use the proportion of

shares ≥ 1% owned by members of board of directors and managers of the firms; the

ownership concentration (OWN_Con) is measured by the proportion of shares owned by the

major shareholder of the company, because many firms in Latin America are directly

controlled by one of the industrial or financial conglomerates that operate in the region

(Lefort & Walker, 2005, 2007; Lopez & Saona, 2005; Cespedes et al., 2008); the family

ownership (Fam_OWN) is measured by the proportion of shares held by family members, i.e.

the percentage of capital that is directly or indirectly in their hands ≥ 5% and; the institutional

ownership (Inst_OWN) through the proportion of shares held by institutional investors.

Moreover, the board size (Board_SIZE) is measured by the total number of directors that



                                                                                               26
integrate the board of directors; the board independence (Board_IND) is measured by the

proportion of external directors inside the board (external directors / total directors) and with a

dummy variable (Board_IND50) that takes the value of one when the board comprises with a

majority of external directors; the board activity (Board_ACT) is measured by the number of

meetings held during the year; the President-CEO duality (CEO_Dual) is measured through a

dummy variable that considers the value of 1 if there is duality of roles between the chairman

and CEO of the firm and, 0 otherwise. Finally, the government index (Gov_Index) that

measure the governability level of the country (control of corruption, rule of law and

government effectiveness).

   On the other hand, we control the effect of various factors through the inclusion of

variables to our model, which have been used in previous studies and have been associated

with EM and CG. Thus, the variable quality and reputation of the external auditor (Big_4)

measured by a dummy variable that takes the value 1 if the company is audited by one of the

big four audit firms, 0 otherwise. In this way, several studies indicate that quality of

accounting information will be linked to the prestige and quality of the external auditor

(DeFond & Jiambalvo, 1991, 1994, DeFond, 1992; Teoh & Wong, 1993; Dechow et al.,

1996; Lennox, 1999a, 1999b; Jara & Lopez, 2007), because most reputable auditors limit the

possibility of EM (Becker et al., 1998; Francis et al., 1999; Kim et al., 2003; Van Tendeloo &

Vanstraelen, 2005) and therefore, the financial statements audited by these firms have greater

credibility (DeFond & Subramayan, 1998; Teoh et al., 1998).

   Another control variable is the firm size (Log_ASSET) measured by the natural logarithm

of total assets at the end of year (Sanchez & Sierra, 2001; Navarro & Martinez, 2004),

controlling with it the effects of company size on accounting choice. Authors generally

expect, and often proves, a negative relationship between firm size and EM, given that in

larger companies are expected to have more sophisticated control systems, skilled advisers,


                                                                                               27
more negotiating power with the external auditor and are subject to increased monitoring by

investors and analysts, so accounting fraud is less probable than in smaller firms, where the

managers of these companies have more opportunities to manipulate the information (Beasley

et al., 1999; Bartov et al., 2000; Reynolds & Francis, 2000; Sanchez & Sierra, 2001; Klein,

2002; Richardson et al., 2002; Lee & Choi, 2002; Navarro & Martinez, 2004; Garcia Osma &

Gill de Albornoz, 2005; Cahan & Zhang, 2006; Goodwin & Kent, 2006; Prior et al., 2008).

Moreover, we includes the indebtedness level variable (Debt), calculated as the ratio of total

debt and total assets. Thus, a high indebtedness is associated with the risk of excessive

leverage (Press & Weintrop, 1990), which motivates the EM to conceal inconvenient

information and display a greater capacity to generate resources (DeFond & Jiambalvo, 1994;

Sweeney, 1994; DeAngelo et al., 1994; Dechow et al., 1995; Krishnan et al., 1996; Frankel et

al., 2002; Balsam et al., 2003).

   Additionally, following the study of Francis & Wang (2004) we include two control

variables on firm performance. The first is the growth variable (GROWTH), measured in

terms of the relation of the difference in sales and sales of the previous period for firm i in

year t, which indicates that firms with high growth rates are more likely to use discretionary

accruals (McNichols, 2000). The second is the variable (ROA), calculated by the ratio

between earnings before extraordinaire, interest and taxes of year t and the total net assets at

beginning of year t, and positively related to the use of discretionary accruals. This suggests

that managers are motivated to manipulate the results upward, i.e., increase the benefits

obtained with the intention to make the company more attractive (Kothari et al., 2005;

Machuga & Teitel, 2007).

   Also, because a poor financial situation of the company could increase agency costs and

encourage the management to manipulate the accounting numbers (Nurul et al., 2010; Sierra

et al., 2010) we includes the control variable loss (Loss) which is measured through a dummy


                                                                                            28
variable that takes value of 1 if the company has had losses in the last two years and, 0

otherwise. Finally, we consider the sector of activity variables (IND) and year (YEAR), being

these important factors of measurement, because in sectors and specific years could have a

better results to identifying discretionary accruals (McNichols et al., 1988; Roychowdhury,

2006).

4. Analysis and Results

4.1. Descriptive Analysis

   Table 1 displays the descriptive statistics and t values of discretionary accruals for

estimated [Abs (DAC) it], showing that mean values of discretionary accruals are, in all cases,

statistically different from zero. This does not allow us to reject the null hypothesis and,

therefore, provides evidence that Latin American companies manipulate their results, either

by increasing the benefit to denote a better and higher profitability of the company or, on the

contrary, reducing the benefit as fiscal strategy aims to pay fewer taxes and contributions.

                                           TABLE 1:
                 Descriptive Statics of Discretionary Accruals [Abs (DAC)it]
                                      Estimations by Year
     Year            N          Mean        Median      Std. Dev.        T         Adjusted R2
  DAC-2006          435         0.224       0.119         0.441         0.619        0.536
  DAC-2007          435         0.278       0.112         0.704        -1.070        0.285
  DAC-2008          435         0.198       0.122         0.293         1.567        0.118
  DAC-2009          435         0.249       0.142         0.420        -0.243        0.808
   Global          1,740        0.237       0.121         0.489         1.459        0.447

   For its part, Table 2 shows the mean, median, standard deviation and the associated t-

Value of the estimated coefficients of the absolute value of discretionary accruals [Abs

(DAC)it] per country. In it, can be seen that the model significantly explained variations in the

coefficients of discretionary accruals, as its explanatory power shows Adjusted R2 values

(significance level) above 40% for all the countries.




                                                                                               29
TABLE 2:
                 Descriptive Statics of Discretionary Accruals [Abs (DAC)it]
                                    Estimations by Country
   Country           N           Mean       Median       Std. Dev.        T         Adjusted R2
   Argentina        308          0.247       0.137         0.425        0.412          0.744
    Brazil          480          0.293       0.152         0.481        1.749          0.476
     Chile          532          0.236       0.101         0.651        1.852          0.542
    Mexico          420          0.167       0.110         0.198        1.493          0.408
    Global         1,740         0.237       0.121         0.489        1.459          0.447

   Table 3 shows the main descriptive statistics of quantitative and dichotomous variables.

Thus, with respect the board characteristics variables it can be seen that in the four countries

analyzed, generally, companies boards meets on average 5 times a year. It can also be seen

that boards are composed with a mean of 11 members, of whom 38.5% are external directors,

a fact that clearly indicates that the composition of this organ of government is a majority of

internal members, thus demonstrating control and domain that have families on this governing

body (Santiago & Brown, 2009; Santiago et al., 2009). Our result contradicts the

recommendations highlighted in previous studies that recommend an integration of boards by

a majority of external directors (Hermelin & Weisbach, 2003; Sanchez & Guilarte, 2006,

2008; Zattoni & Cuomo, 2010); and is in line with results of previous studies conducted in

Latin America which document, likewise, a composition of boards by a majority of internal

directors (Silveira et al., 2003; Schiehll & Santos, 2004; Lefort, 2005, Ferraz et al., 2011).

   Regarding the ownership structure, Table 3 shows that Mexican companies reveal to have

a higher family engagement with the 37.1%, followed by Argentinean (35%), Chilean

(26.2%) and Brazilian (24%) companies. The ownership concentration (major shareholder)

reflects an average of 29.4% of the social capital of firms. In this way, Chilean companies are

those that revealed have a higher shareholding concentration with 32.2%, followed by

Brazilian (29.3%), Mexican (28.6%) and Argentinean (27.5%) firms. Moreover, regarding to

the internal ownership (top management), it can be seen that manager and directors holds, on

average, 6.1% of the social capital of companies. Thus, Brazilian firms are those that revealed


                                                                                                 30
have a higher internal ownership with 7.3%, followed by Argentinean (7.1%), Chilean (6%)

and Mexican (4.5%) companies. Finally, the institutional ownership indicates an average

value of 22.8% of social capital held by institutional investors. Thus, Brazilian companies are

those that have revealed a higher participation of institutional investors with 23.9%, followed

by the Chilean (23.8%), Argentinean (21%) and Mexican (20.6%) firms.

                                           TABLE 3:
               Descriptive Statistics of Quantitative and Dichotomous Variables
                                    Observations by Country
   Variable       Statistics    Argentina            Brazil       Chile           Mexico           Global

a) Quantitative Variables 1
                      N           308                 480          532             420              1.740
  Int_OWN           Mean         0.071               0.073        0.060           0.045             0.061
                  Std. Dev.      0.046               0.048        0.047           0.038             0.046
                    Mean         0.275               0.293        0.322           0.286             0.294
  OWN_Con
                  Std. Dev.      0.106               0.102        0.118           0.101             0.107
  Fam_OWN           Mean          0.350               0.240        0.262           0.371             0.305
                  Std. Dev.       0.163               0.177        0.181           0.181             0.179
  Inst_OWN          Mean          0.210               0.239        0.238           0.206             0.228
                  Std. Dev.       0.145               0.136        0.135           0.135             0.137
                    Mean          11.49               11.38        11.54           11.47             11.47
  Board_SIZE
                  Std. Dev.        3.82                3.69         3.60            3.66              3.67
                    Mean          0.400               0.394        0.366           0.375             0.385
  Board_IND
                   Std. Dev       0.730               0.891        0.077           0.862             0.083
                    Mean          5.42                5.37         5.33            5.15              5.31
 Board_ACT
                  Std. Dev.      2.49                 2.50         2.47            2.38              2.46
                    Mean         41.13               51.12        88.05           48.78             49.73
 GOV_Index
                  Std. Dev.      3.25                 2.51         0.68            2.06             18.78
                    Mean         13.32               13.39        18.39           16.09             15.58
 Log_ASSET
                  Std. Dev.      1.91                1.75          2.32            1.70              2.93
                    Mean         0.396               0.504        0.280           0.227             0.350
     Debt
                  Std. Dev.      1.371               0.691        0.924           0.158             0.862
                    Mean          4.47                4.58         9.18            6.96              6.56
    ROA
                  Std. Dev.      1.84                 1.67         2.36            1.70              2.79
                    Mean         0.236               0.531        0.103           0.124             0.249
  GROWTH
                  Std. Dev.      0.617               2.221        0.299           0.484             1.241
 b) Dichotomous Variables 2

   Variable       Statistics    Argentina            Brazil       Chile           Mexico           Global
                     N               308              480             532             420            1.740
Board_IND50          0         148     48.1%   240      50.0%   316     59.4%   224     53.3%   928     53.3%
                     1         160     51.9%   240      50.0%   216     40.6%   196     46.7%   812     46.7%
                     0         99      32.1%   193      40.2%   209     39.3%   172     40.9%   673     38.7%
  CEO_Dual
                     1         209     67.9%   287      59.8%   323     60.7%   248     59.1%   1,067 61.3%
                     0         144     46.8%   199      41.5%   180     33.8%   120     28.6%   643     36.9%
    Big_4
                     1         164     53.2%   281      58.5%   352     66.2%   300     71.4%   1,097 63.1%



                                                                                                             31
TABLE 3:
                      Descriptive Statistics of Quantitative and Dichotomous Variables
                                           Observations by Country
      Variable            Statistics       Argentina                Brazil              Chile              Mexico                Global
                               0          234     76.0%       373      77.7%        436     81.9%       319     75.9%       1,362     78.3%
         Loss
                               1           74     24.0%       107      22.3%         96     18.1%       101     24.1%       378       21.7%
(1)   Quantitative Variables: Int_OWN = Internal ownership, measured by the proportion of shares owned by managers and members of
      Boards (≥ 1%); OWN_Con = Ownership Concentration, measured by the ratio of shares held by the major shareholder of the company
      (≥ 5%); Fam_OWN = Family Ownership, measured by the proportion of shares held by family members (≥ 5%), as a percentage of
      capital that is directly or indirectly in his possession; Inst_OWN= Institutional Ownership, measured by the proportion of shares held by
      institutional investors; Board_SIZE= Size of boards of directors, measured by the total number of members of Boards; Board_IND=
      independence of the Board, measured by the proportion of independent members (independent directors / total directors); Board_ACT=
      Activity of Boards, measured by the number of meetings; GOV_Index= The degree of law enforcement of each country analyzed, taken
      from the research project “Worldwide Governance Indicators” (WGI) proposed by Kaufmann et al., (2010); Log_ASSET= Firm size,
      measured by the natural logarithm of total assets of the companies; Debt= Level of indebtedness, measured by the quotient resulting
      from gross debt to total assets, ROA= Economic Return, measured by the ratio of the relationship between the result before special
      items, interest and taxes of year t and the total net assets at the beginning of year t; GROWTH= Growth of the Companies, calculated in
      terms of the ratio of the difference in sales and sales of the previous period of firm i in year t.
(2)   Dichotomous Variables: Boad_IND50= Measured through a dummy variable that takes value of 1 if boards has a majority of
      independent directors and, 0 otherwise; CEO_Dual= Measured through a dummy variable that considers the value of 1 if there is
      duality of roles between the chairman and CEO of the companies and, 0 otherwise; Big_4= Measured by a dummy variable that takes
      the value 1 if the firms are audited by one of the big four firms, 0 otherwise; Loss= Measured through a dummy variable that takes
      value of 1 if the companies have had losses in the last two years and, 0 otherwise.


4.2. Regression Results

       After analyzing the variables descriptively, it is necessary to apply tests to help measure

the linear relationship between the dependent variable “absolute value of discretionary

accruals [Abs (DAC)it]” and the independent and control variables of the firms. The

explanatory development is based mainly, on determining the level of influence that CG

mechanisms has on discretionary accruals. In order to determine which model is better suited

to our data, either the fixed effects based on groups estimator or random effects based on

generalized least squares (GLS) we perform the Hausman test (1978), which determines

whether the differences are systematic and significant between the two models. In all cases,

the result of this test does not reject the null hypothesis of no systematic differences between

the regressors’ and unobserved heterogeneity, therefore assuming the random effects as the

most appropriate for our analysis.

       Thus, in Table 4 the model 1 shows the results obtained from the linear regression of the




                                                                                                                                          32
panel data, the absolute value of discretionary accruals [Abs (ADD) it] on the variables of

ownership structure, board of directors and control. With regard to the internal ownership, is

observed that the stake held by managers and directors in Latin American firms have a

significant negative relationship at level of 1% with the absolute value of discretionary

accruals, suggesting that the low insider’s ownership reduce the EM practices, i.e. reduce the

use of discretionary accruals (convergence of interest’s hypothesis). Our result is in line with

those results obtained by Machuga & Teitel (2009) with a sample of Mexican firms, who

shows that firms with a fewer internal ownership shows a greater earnings quality compared

to those firms that do not have managerial ownership, i.e. shows less manipulative practices

by managers, because the implementation of good CG practices contained in Codes of Best

Practices. In similar terms, other studies such as Morck et al. (1988) in Canada, Wartfield et

al. (1995) in the U.S., Yeo et al. (2002) in Singapore and Sanchez-Ballesta & Garcia-Meca

(2007) in Spain, also point out that the informativeness of accounting results increases with

low levels of internal ownership, while for a high levels, the internal ownership is not

sufficient as alignment interest’s mechanism.

   In relation to the ownership concentration, shows a significant negative relationship at

level of 1% with the absolute value of discretionary accruals, suggesting that when the main

shareholders have a high percentage of ownership or when a conglomerate directly controls

the firm, the absolute value of discretionary accruals is reduced, due to the efficient

monitoring hypothesis indicated by the Agency theory (Jensen & Meckling, 1976; Fama,

1980; Fama & Jensen, 1983). Thus, Fernandez et al. (1998), Yeo et al. (2002), Gabrielsen et

al. (2002) and De Bos & Donker (2004) results are also consistent with the monitoring role of

external block holders, and their strong positive effects on earnings informativeness.

   Moreover, respect to the board size, this indicates a positive relationship significant at

level of 5%, showing our result that the greater board size the level of monitoring over the


                                                                                            33
management team decreases due to the existence of problems of communication and

coordination that increases the use of discretionary accruals, in line with previous studies as

Xie et al. (2003), Thomsen (2008) and Santiago & Brown (2009).

   Also, respect to the board independence, it shows a weak negative relationship significant

at level of 10%. Our result contrasts with the prominent role that literature, theoretical and

empirical, assigned to this attribute of the board to safeguard the quality and transparency of

results but, for the case of Latin American countries analyzed, does not seem to be so

effective. In this regard, Price et al. (2006, 2007), Teitel & Machuga (2008), Chong et al.

(2009) and Davila & Watkins (2009) in Mexico; Silveira et al. (2003), Schiehll & Santos

(2004) and Ferraz et al. (2011) in Brazil; Majluf et al. (1998), Iglesias (1999), Lefort &

Walker (2000, 2005) in Chile; suggests that this is due to boards are mainly composed of

major shareholders and managers of the companies, having external directors a very limited

participation which facilitates the EM and the managerial discretion. It is probably that this

evidence is derived, as stated by Yermack (2004)9, by the presence of grey directors, lack of

rotation of the directors or the two causes simultaneously.

   Regarding the grey directors, they are those that maintain some kind of family or

professional relationship (present or past) with the company or its top management, the fact

that in the annual reports of CG are designated as external and almost in no way disclose any

possible conflicts of interest, could severely limit the board independence. Regards the

second, its slow or almost non-existent rotation makes them permanent external, and thus the

report of the First Latin American Corporate Governance Survey, conducted by Price

Waterhouse Cooper (PWC) in 2010 (published in 2011) indicates that on average only

12,35% of companies listed on Latin American stock markets put time limits for external

directors. In short, according to Monterrey & Sanchez (2008), both groups might fall into the

category that Eguidazu (1999) calls “the label”, in which independence is an appearance and


                                                                                           34
not an attitude, because the absence of sufficient distance from the management of the

company could concentrate in fact the power inside the board, thereby facilitating EM (Garcia

Osma & Gill de Albornoz, 2005).

   In addition, the model 1 shows that board activity results to have a negative relationship

significant at level of 5% showing that the greater number of meetings held by the boards

decreases the use of discretionary accruals, i.e., the higher board activity reduces the EM. We

do not find any statistically significant relationship between family ownership (Fam_OWN),

institutional ownership (Inst_OWN), CEO duality (CEO_Dual) and the absolute value of

discretional accruals.

   On the other hand, there is a significant negative relationship at level of 1% between

Government Index (GOV_Index) and discretionary accruals, suggesting that when a country

implements controls aimed to reduce the corruption, to strengthen the rule of law or to

improve the effectiveness of government seems to influence on EM negatively, i.e., it shows

an increase on the quality and transparency of the financial information issued by companies,

showing a reduction of discretionary accruals (La Porta et al., 1998, 2002, 2006; Leuz et al.,

2003; Bushman et al., 2004; Ball & Shivakumar, 2005).

   Finally, in the remaining control variables it can be seen that they maintain their level of

significance and expected sign: A significant negative relationship at level of 5% between

firm size and discretionary accruals, because the largest companies are subjected to a greater

monitoring than smaller firms (Garcia & Gill, 2005; Cahan & Zhang, 2006; Goodwin & Kent,

2006; Prior et al., 2008); a significant positive relationship at level of 1% between

discretionary accruals and level of debt, due to the companies with more leverage used

manipulative practices to exhibit a greater capacity to generate resources (Krishnan et al.,

1996; Frankel et al., 2002; Balsam et al., 2003); a significant positive relationship at level of

1% between economic profitability and discretionary accruals, suggesting that managers are


                                                                                             35
motivated to manipulate the results obtained with the intention to make the company more

attractive (Kothari et al., 2005; Machuga & Teitel, 2007); a significant positive relationship at

level of 1% between growth and discretionary accruals, indicating that companies that

observed a high growth are more likely to use a discretionary accruals adjustments

(McNichols, 2000), because they experiment better opportunities to attract investment

(Young, 1999).

   Additionally, in column 11 of Table 4 we use a different proxy for board independence,

replacing the proportion of external directors on boards (Board_IND) by a dummy variable

that takes the value of 1 if board has a majority of external directors, and 0 otherwise

(Board_IND50). The conclusions are the same than model 1, i.e., the board independence also

shows a weak negative relationship significant at level of 10% with the dependent variable

[Abs (ADD) it].




                                                                                             36
TABLE 4:
                           Discretionary Accrual Regressions on Corporate Governance and Control Variables
                                                  Random Effects Estimation (GLS)
Model 1: Abs(ADD)it= β0 + β1(Int_OW ) + β2(OW _Con) + β3(Fam_OW ) + β4(Inst_OW ) + β5(Board_SIZE) + β6(Board_I D) + β7(Board_ACT) +
         β8(CEO_Dual) + β9(Big_4) + β10(Log_ASSET) + β11(Debt) + β12(ROA) + β13(GROWTH) + β14(Loss) + β15(GOV_Index) +ηi +λt +υit
               Expected                                                                                                                 Model 1     Model 2
   Variable
                 Sign        (1)         (2)         (3)         (4)         (5)         (6)           (7)        (8)         (9)          (10)        (11)
                          -0.433**                                                                                                     -0.481***   -0.491***
  Int_OWN         ¿?
                           (-1.84)                                                                                                       (-2.01)     (-2.05)
                                      -2.340**                                                                                         -2.174***   -2.354***
  OWN_Con         ¿?
                                       (-1.56)                                                                                           (-1.36)     (-1.52)
                                                   -0.089                                                                                -0.055      -0.079
  Fam_OWN         ¿?
                                                   (-0.91)                                                                               (-0.55)     (-0.80)
                                                               -0.073                                                                    -0.080      -0.083
  Inst_OWN        ¿?
                                                               (-0.92)                                                                   (-1.00)     (-1.04)
                                                                           0.032*                                                       0.053**     0.035**
 Board_SIZE       ¿?
                                                                           (0.73)                                                         (1.19)      (0.80)
                                                                                      -3.201*                                           -3.513*
  Board_IND       -
                                                                                      (-1.67)                                            (-1.79)
                                                                                                   -0.024*                                           -0.027*
 Board_IND50      -
                                                                                                   (-1.10)                                           (-1.22)
                                                                                                               -0.097*                  -0.127**     -0.114*
 Board_ACT        -
                                                                                                               (-1.61)                   (-2.07)     (-1.87)
                                                                                                                              0.009       0.005       0.007
  CEO_Dual        +
                                                                                                                             (0.41)       (0.21)      (0.29)
                          -0.167***   -0.169***   -0.174***   -0.173***   -0.173***   -0.171***    -0.178***   -0.173***   -0.174***   -0.156***   -0.163***
 GOV_Index        -
                           (-3.51)     (-3.54)     (-3.66)     (-3.65)     (-3.65)     (-3.60)      (-3.73)     (-3.65)     (-3.67)      (-3.27)     (-3.41)
                            -0.027      -0.027      -0.028      -0.028      -0.027      -0.026       -0.027      -0.029      -0.027      -0.029       -0.029
    Big_4         -
                           (-1.18)     (-1.20)     (-1.23)     (-1.23)     (-1.19)     (-1.15)      (-1.17)     (-1.27)     (-1.17)      (-1.26)     (-1.28)
                          -0.030**    -0.032**    -0.030**    -0.028**    -0.028**    -0.022**     -0.031**    -0.033**    -0.029**     -0.024**    -0.035**
 Log_ASSET        -
                           (-1.75)     (-1.87)     (-1.80)     (-1.65)     (-1.66)     (-1.24)      (-1.82)     (-1.93)     (-1.75)      (-1.37)     (-2.05)
                          0.314***    0.315***    0.314***    0.314***    0.316***    0.317***     0.315***    0.315***    0.315***     0.316***    0.314***
    Debt          +
                            (2.37)      (2.38)      (2.37)      (2.37)      (2.38)      (2.39)       (2.38)      (2.38)      (2.38)       (2.37)      (2.36)
                          0.045***    0.045***    0.047***    0.044***    0.046***     0.043**     0.047***    0.047***    0.046***     0.043***    0.047***
    ROA           +
                            (2.58)      (2.62)      (2.71)      (2.54)      (2.65)      (2.49)       (2.72)      (2.71)      (2.65)       (2.45)      (2.70)


                                                                                                  37
TABLE 4:
                                     Discretionary Accrual Regressions on Corporate Governance and Control Variables
                                                            Random Effects Estimation (GLS)
Model 1: Abs(ADD)it= β0 + β1(Int_OW ) + β2(OW _Con) + β3(Fam_OW ) + β4(Inst_OW ) + β5(Board_SIZE) + β6(Board_I D) + β7(Board_ACT) +
         β8(CEO_Dual) + β9(Big_4) + β10(Log_ASSET) + β11(Debt) + β12(ROA) + β13(GROWTH) + β14(Loss) + β15(GOV_Index) +ηi +λt +υit
                      Expected                                                                                                                                   Model 1        Model 2
    Variable
                        Sign            (1)           (2)           (3)           (4)           (5)          (6)           (7)           (8)           (9)          (10)           (11)
                                    0.031***      0.031***      0.031***      0.031***      0.031***     0.031***      0.031***      0.030***      0.031***      0.029***       0.029***
   GROWTH                 +
                                      (3.49)        (3.48)        (3.48)        (3.52)        (3.49)       (3.50)        (3.50)        (3.43)        (3.50)        (3.27)         (3.28)
                                      0.001         0.003         0.005         0.005         0.005        0.005         0.005         0.008         0.004         0.006          0.006
      Loss                +
                                      (0.04)        (0.10)        (0.19)        (0.19)        (0.18)       (0.18)        (0.19)        (0.29)        (0.13)        (0.22)         (0.20)
      Significance                    0.000         0.000         0.000         0.000         0.000        0.000         0.000         0.000         0.000         0.000          0.000
      Adjusted R2                    0.2729        0.2726        0.2719        0.2719        0.2717       0.2727        0.2720        0.2726        0.2716        0.2777         0.2770
  Number of Observations              1.740         1.740         1.740         1.740         1.740        1.740         1.740         1.740         1.740         1.740          1.740
(***) Significant at level 1%; (**) Significant at level 5%; (*) Significant at level 10%.
Note 1. The model includes industry sectors and time controls, but they are not reported.
Note 2. Z statistics in parentheses.
Quantitative Variables: Int_OWN = Internal ownership, measured by the proportion of shares owned by managers and members of Boards (≥ 1%); OWN_Con = Ownership
Concentration, measured by the ratio of shares held by the major shareholder of the company (≥ 5%); Fam_OWN = Family Ownership, measured by the proportion of shares held by
family members (≥ 5%), as a percentage of capital that is directly or indirectly in his possession; Inst_OWN= Institutional Ownership, measured by the proportion of shares held by
institutional investors; Board_SIZE= Size of boards of directors, measured by the total number of members of Boards; Board_IND= independence of the Board, measured by the
proportion of independent members (independent directors / total directors); Board_ACT= Activity of Boards, measured by the number of meetings; Log_ASSET= Firm size, measured by
the natural logarithm of total assets of the companies; Debt= Level of indebtedness, measured by the quotient resulting from gross debt to total assets, ROA= Economic Return, measured
by the ratio of the relationship between the result before special items, interest and taxes of year t and the total net assets at the beginning of year t; GROWTH= Growth of the Companies,
calculated in terms of the ratio of the difference in sales and sales of the previous period of firm i in year t; GOV_Index= The degree of law enforcement of each country analyzed, taken
from the research project “Worldwide Governance Indicators” (WGI) proposed by Kaufmann et al., (2010).
Dichotomous Variables: Boad_IND50= Measured through a dummy variable that takes value of 1 if boards has a majority of independent directors and, 0 otherwise; CEO_Dual=
Measured through a dummy variable that considers the value of 1 if there is duality of roles between the chairman and CEO of the companies and, 0 otherwise; Big_4= Measured by a
dummy variable that takes the value 1 if the firms are audited by one of the big four firms, 0 otherwise; Loss= Measured through a dummy variable that takes value of 1 if the companies
have had losses in the last two years and, 0 otherwise.




                                                                                                                     38
4.3. Analysis Extension

     on-Linear Relationships

   In this section we extend the previous analyzes to test the possible nonlinear relationships

between CG mechanisms and EM.

                                       TABLE 5:
Non-Linear Relationship in Internal Ownership, Ownership Concentration and Board Activity
Model 2: Abs (ADD)it= β0 + β1(Int_OW ) + β2(Int_OW 2) + β3(OW _Con) + β4(OW _Con2) +
         β5(Fam_OW ) + β6(Inst_OW ) + β7(Board_SIZE) + β8(Board_I D) + β9(Board_ACT)+
         β10(Board_ACT2) + β11(CEO_Dual) + β12((Big_4) + β13(Log_ASSET) + β14(Debt) +
         β15(ROA) + β16(GROWTH) + β17(Loss) + β18(GOV_Index) +ηi +λt +υit

        Variables                 (1)              (2)              (3)            Model 2
                               -0.978***         -0.456**        -0.486**         -0.873***
        Int_OWN
                                 (-1.06)          (-1.90)         (-2.03)            (0.94)
                                 2.888**                                            2.401**
       Int_OWN2
                                  (0.55)                                             (0.46)
                                -2.150**        -2.101***        -2.099**         -2.126***
       OWN_Con
                                 (-1.35)          (-1.17)         (-1.32)           (-1.47)
                                                 1.749**                            1.540**
       OWN_Con2
                                                   (1.46)                            (1.54)
                                 -0.057           -0.063            -0.056           -0.068
       Fam_OWN
                                (-0.58)           (-0.64)          (-0.56)          (-0.68)
                                 -0.079           -0.076            -0.078           -0.074
       Inst_OWN
                                (-0.99)           (-0.95)          (-0.98)          (-0.92)
                                0.053*            0.051*           0.047*           0.044*
       Board_SIZE
                                 (1.20)            (1.15)           (1.06)           (0.99)
                                -3.556*          -3.190*           -3.534*          -3.231*
       Board_IND
                                (-1.81)           (-1.62)          (-1.80)          (-1.64)
                                -0.124*          -0.134*           -0.191*          -0.134*
       Board_ACT
                                (-2.03)           (-2.18)          (-0.94)          (-0.55)
                                                                    0.094            0.231
      Board_ACT2
                                                                    (0.39)           (1.13)
                                  0.004            0.005            0.006            0.007
       CEO_Dual
                                  (0.20)           (0.23)           (0.27)           (0.31)
                               -0.156***        -0.160***        -0.154***        -0.159***
       GOV_Index
                                 (-3.28)          (-3.35)          (-3.23)          (-3.32)
                                  -0.027          -0.027            -0.029           -0.027
         Big_4
                                 (-1.20)          (-1.21)          (-1.27)          (-1.17)
                                -0.025**         -0.026**         -0.024**         -0.028**
      Log_ASSET
                                 (-1.38)          (-1.47)          (-1.37)          (-1.49)
                                0.317***        0.316***          0.316***         0.315***
          Debt
                                  (2.37)           (2.37)          (-2.36)           (2.34)
                                 0.043**        0.044***           0.044**         0.046***
          ROA
                                  (2.47)           (2.52)           (2.49)           (2.60)
                                0.029***        0.029***          0.028***         0.028***
       GROWTH
                                  (3.26)           (3.25)           (3.23)           (3.21)
                                  0.006            0.008            0.008            0.009
          Loss
                                  (0.21)           (0.28)           (0.27)           (0.33)



                                                                                              39
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets
Corporate Governance And Earnings Management In Latin American Markets

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Corporate Governance And Earnings Management In Latin American Markets

  • 1. Corporate Governance and Earnings Management in Latin American markets Jesus Alfonso Saenz Gonzalez Emma Garcia Meca Profesor Investigador UACJ Profesora Titular UPTC Abstract: We use panel data to examine the relationship between the internal mechanisms of Corporate Governance and Earnings Management measured by discretionary accruals in companies listed on Latin American markets. Our results show how the Board dimension creates problems of communication and coordination that reduce the oversight over the management team, increasing earnings management. Also, we point out how in the Latin American context the role of external directors is limited and those Boards that meet more frequently takes a more active position in the monitoring of the insiders, showing a lower use of manipulative practices. In addition, we find a non-linear relationship between insider ownership and discretionary accruals, also pointing out that ownership concentration may be a manipulative practices constrictor mechanism only when the ownership of main shareholders is moderate. These results support the general opinion that the full application of the Anglo-Saxon corporate governance model to a continental institutional setting is inappropriate. In addition, the findings have important policy implications since it is, to the best of our knowledge, the first study to analyze the relationship between the effectiveness of the government and the earnings management behaviour. We document how when a country implements controls aimed to reduce corruption, to strengthen the rule of law or to improve the effectiveness of government, it leads to reduce earnings management. These data would provide useful information for testing complementarities between low-quality financial accounting regimes and quality control mechanisms to promote economic efficiency. Key Words: Board of Directors; Corporate Governance; Corruption; Discretionary Accruals; Ownership Structure; Stock Markets. 1
  • 2. 1. Introduction In recent years, large accounting fraud uncovered in the stock markets has once again confirmed the importance of transparency and reliability of financial information provided to markets. It is no coincidence that this lively interest in accounting issues is accompanied by a significant concern for good governance. The regulatory response to financial scandals has been taking measures to protect information transparency, mitigate conflicts of interest and ensure the independence of auditors, all in order to protect the investors interests’ and increase the confidence of capital markets. Thus, the strong pressure that capital markets exert on managers is an important condition that can motivate them to engage in manipulative practices, to the point of being willing, as shown by Graham et al. (2005), to sacrifice the value to meet investor expectations and live up to forecasts by analysts tagged. For this reason, the accounting function should enjoy adequate protection, and hence the corporate governance (CG) practices stand as a guarantee of its integrity, improving the quality and transparency of financial statements1 (Johnson et al., 2002; Garcia Osma & Gill de Albornoz, 2005; Biddle & Hilary, 2006; Biddle et al., 2009). Thus, the establishments of internal governance processes are essential to maintain the credibility of firms’ financial information and safeguarding against earnings manipulations (Dechow et al., 1996). A weak governance structure may provide an opportunity for managers to engage in behaviour that would eventually result in a lower quality of reported earnings. This opportunistic behaviour of managers can be explained by agency theory, given the separation between ownership and control in a firm, managers may act to maximize their own wealth at the expense of shareholders’ wealth (Jensen y Meckling, 1976; Fama, 1980) Thus, from the studies published by Jensen & Meckling (1976) and Fama & Jensen (1983), it is assume that both, the role of board of directors and ownership structure, are crucial in monitoring managerial activity, capable of reducing agency costs resulting from the 2
  • 3. alignment of ownership and management interests. Thus, several studies documented a significant relationship between the characteristics of the board of directors and the integrity of accounting information (Klein, 2002; Xie et al., 2003; Anderson et al., 2004; Peasnell et al., 2005; Karamanou & Vefeas, 2005; Saleh et al., 2005; Ahmed et al., 2006; Bradbury et al., 2006; Cheng et al., 2006; Rahman & Ali, 2006; Patelli & Prencipe, 2007; Hashim & Devi, 2008). Regarding to the ownership structure, previous studies analyzed the effect of the internal ownership and shareholding concentration held by major shareholders on the quality of financial results, either individually as a proxy for ownership structure or along with the participation of managers as a distinct dimension of that structure (Wartfield et al., 1995; Short & Keasey, 1999; Demsetz & Villalonga, 2001; Fan & Wong, 2002; Yeo et al., 2002; Han, 2004; Lefort, 2005; Kim & Yi, 2006; Price et al., 2006). All these studies related mainly to Anglo-Saxon countries, where outsides investors are well-protected by the legal system (e.g. United Stated, United Kingdom) and the level of transparency is high, most listed firm’s present widely-held ownership structures. In this setting, the main agency conflict stems from the divergence of the interests between managers and shareholders (Jensen & Meckling, 1976). The results documented by La Porta et al. (1998, 2000), Leuz et al. (2003), Kim & Yi (2006) reveal that the manipulative practices are higher in economies with less developed stock markets, with more concentrated ownership structures and weak investor protection laws. In the Latin American context, the ownership structure of listed firms is characterised by high levels of concentrated ownership where many firms are directly controlled by one of the industrial or financial conglomerates that operate in the region (Khanna & Palepu, 2000; Lefort, 2003; Lefort & Walker, 2005, 2007; Lopez & Saona, 2005; Cespedes et al., 2008), by the use of pyramidal structures that enable controlling shareholders to separate their voting and cash flow rights (Mendes & Mazzer, 2005), and by the notable presence of family groups 3
  • 4. among such owners (La Porta et al., 1999; Castañeda, 2000a, 2000b; Rabelo & Coutinho, 2001; Santiago et al., 2009). Moreover, the control exerted by these family owners is not usually limited solely to their participation in the firms’ ownership since they usually play an active role in management (La Porta et al., 1999; Castillo-Ponce, 2007). In that regard, a lower separation between ownership and control shift the main agency conflict to the possible expropriation of minority shareholders by controlling owners (La Porta et al., 2000; Lefort, 2005, 2007; Saona, 2009). According to the approaches set out, this paper have the main objective to analyze the relationship between the internal mechanisms of CG and earnings management (EM) in firms listed on Latin American stock markets, specifically, in the markets of Argentina, Brazil, Chile and Mexico, during the period 2006 to 2009. These countries have not been strangers to the initiatives of practically all Western countries since the promulgation in 2000 of the Sarbanes-Oxley in the U.S. and it seems appropriate to verify empirically the effects of CG mechanisms such as ownership structure and board of directors on EM in these countries, where both the predominant agency conflict and the institutional environment differ from those in the Anglo-Saxon and Continental European markets. In addition, according to Boyd & Hoskisson (2010) the nature of institutional country effects in which firms are embedded shapes their governance. Thus, by using a government index proposed by previous literature we will test if those countries that control corruption, have a stronger rule of law and higher effectiveness of their government, reduce the EM behaviour. We define EM in terms of ‘absence of manipulative practices’. This is because the intentional manipulation of earnings by managers may reduce the usefulness of earnings to the overall users (Velury & Jenkins, 2006; Dechow et al., 2010; Matis et al., 2010). Earnings that are persistence and predictable may not be of high quality if this results from EM 4
  • 5. (Dechow & Schrand, 2004). We use the modified version of Jones (1991) proposed by Dechow et al. (1995) and which has been used in other studies such as Teoh et al. (1998), Xie et al. (2003) and Francis et al. (2008) to determine the discretional accruals. Thus, we use the absolute value of discretionary accruals [Abs (DCA) it] as a measure of the degree of EM. This is consistent with previous studies on EM who pointed out that the study of the quality of results does not impose any direction or sign on the expectations of EM (Wartfield et al., 1995; Klein, 2002; Gabrielsen et al., 2002; Bowen et al., 2004, 2008; Van Tendeloo & Vanstraelen, 2005; Wang, 2006; Chen et al., 2007; Barth et al., 2008). This study contributes to the growing body of literature related to CG in the following ways. First, it extends the very limited research on the relationship between CG and EM in Latin America and provides a more comprehensive picture of this association. Second, it provides further evidence by analyzing the empirical evidence in a Latin American context, where the boards of directors, legal investors’ protection, the presence of reference investors’ and the threat of corporate takeover differs substantially from other regions of the world, especially in those countries with developed markets. Third, our study extends the literature to ethical aspects that are scarce and have not been tested yet in the relationship between internal mechanisms of CG and EM in Latin America, such as corruption, rule of law and government effectiveness. In this way, we include a proxy that represents the country governability level (government index). This is because corruption is prevalent in emerging countries, affecting the effective function of governments and economies (Gill & Kharas, 2007; Aidt, 2009). The implementation of controls aimed to reduce the corruption, to strengthen the rule of law or to improve the effectiveness of the government in a country could lead to reduce an opportunistic behaviour and, consequently, could reduce the EM practices in firms. On the other hand, the analysis of the relationship between CG and EM in Latin American markets is motivated mainly, because several studies have investigated the use of 5
  • 6. discretionary accruals in developed market such as the U.S. (DeFond & Jiambalvo, 1991; Wartfield et al., 1995; Dechow et al., 1996; Chung et al., 2002; Klein, 2002; Rajgopal et al., 2002; Xie et al., 2003; Bowen et al., 2004; Cornett et al., 2008), the UK (Peasnell et al., 2000, 2005) and Australia (Koh, 2003; Davidson et al., 2005; Hsu & Koh, 2005; Wan et al., 2007). However, very little research has looked at the relationship between CG and EM in emerging markets, such as Latin American (Lopez & Saona, 2005; Price et al., 2006; Castrillo & San Martin, 2007; Teitel & Machuga, 2008). It is possible that in an emerging country, the mechanisms of CG are not as effective as in a developed country because of the different institutional environment (Gaio, 2010, Gaio & Raposo, 2011) such as a weaker market for corporate control (Gibson, 2003; Lins, 2003), more concentrated ownership (Khanna & Palepu, 2000; Lefort, 2003; Lefort & Walker, 2005, 2007; Lopez & Saona, 2005; Cespedes et al., 2008), significant family ownership (Castañeda, 2000a, 2000b; Rabelo & Coutinho, 2001; Santiago et al., 2009) and ineffective shareholder right protection (La Porta, 1998, 2000; Leuz et al., 2003; Lefort, 2007). Additionally, boards of directors in Latin American firms are not as independent as those in developed countries, making less effective in monitoring the decisions taken by managers (Spencer Stuart, 2000; Santiago & Baek, 2003; Lefort, 2005; Helland & Sukuta, 2005). Given these institutional factors, the results of our study may not be similar to those found for developed countries. In this case, our study fills a gap in the existing literature by examining the effectiveness of how internal mechanisms of CG (ownership structure and board of directors) constrict manipulative practices in Latin American firms. Also, as this study was conducted on a large sample of firms over a reasonable time frame, we believe that our findings capture a strong picture of the relationship between internal mechanisms of CG and EM in Latin America. The remainder of the paper has the following organization: in section 2, the study hypotheses are developed; in section 3, we present the design and research methodology; in 6
  • 7. section 4, we shows the statistical results; in section 5, we discusses the results, the limitations and future lines of research and; finally, in section 6 we present the main conclusions of our study. 2. Previous literature and development of hypotheses 2.1. Ownership structure The ownership structure is an internal control mechanism that focuses on the aspects that define the ownership of the company and refers to the manner in which titles or rights of representation redistribute the capital of the firm in one or more individuals or legal entities. In this sense, Demsetz (1983) indicates that ownership structure is just a reflection of the existing balance between preferences that have the owners and top management team. Thus, the monitoring power derived from the ownership structure resulting in a kind of control exercised over the company and, particularly, over the top management team. The final control is given by the distribution of ownership and the capability of any owner or group of them to influence in the decisions taken. In this way, several studies have shown that ownership structure is a natural monitoring mechanism that exerts great control over the performance, discretionary and remuneration of the top management (Short, 1994; Zajac & Westphal, 1994). Thus, previous studies mainly focuses on the effect of insider ownership over the EM (Sanchez-Ballesta & Garcia-Meca, 2007; Teshima & Shuto, 2008), analyzing how the managerial ownership influence over the informativeness of earnings (Wartfield et al., 1995; Gabrielsen et al., 2002; Yeo et al., 2002) or, in conjunction with ownership concentration (measured by the fraction of ownership held by major shareholders or by the proportion of ownership held by the main shareholders of the firm), showing how that monitoring of owners improves the quality of managerial decisions and, consequently, the firm value, since the existence of substantial block holders leads to a closer monitoring of management, implying a lower opportunity for EM (McConnell & 7
  • 8. Servaes, 1990; Agrawal & Knoeber, 1996; Demsetz & Villalonga, 2001; De Miguel et al., 2004; Boubraki et al., 2005; Sanchez-Ballesta & Garcia-Meca, 2007). Thus, Yeo et al. (2002) and De Bos & Donker (2004) shows that increased ownership concentration is an effective CG mechanism in monitoring accounting decisions taken by management. However, Demsetz & Villalonga (2001) affirm that in order to treat ownership structure appropriately and to account for the complexity of interest represented in a given ownership structure, must be consider different dimensions of ownership structure, i.e. not only focus on the insider ownership and ownership concentration. Following this suggestion, we analyze apart of this two commonly dimensions examined by previous literature, two different dimensions of ownership structure that previous literature also shown that could be an effective CG mechanism in monitoring management decisions, capable to constricts manipulative practices and, consequently, improving the earnings quality: family ownership (Wang, 2006; Ali et al., 2007; Bona et al., 2008) and institutional ownership (Shleifer & Vishny, 1997; Rajgopal et al., 2002; Chung et al., 2002; Balsam et al., 2002; Jiambalvo et al., 2002; Koh, 2003; Han, 2004; Ferreira & Matos, 2008; Ruiz et al., 2009; Ferreira et al., 2010). The next sections describe the development of the hypotheses related to the four ownership structure variables examined in our study. 2.1.1. Internal ownership The hypotheses about the influence that the ownership structure has on the value of the firm, justified mainly through the Agency Theory, have been extended to other aspects of company information, such as EM. Therefore, Agency Theory suggests that when managers are not owners of the entity that they lead or have a low equity stake on it, their behaviour is affected by self-interest that away goals of maximizing corporate value and, therefore, of the interest of shareholders, which facilitates EM (Jensen & Meckling, 1976; Fama, 1980; Fama & Jensen, 1983; Healy, 1985; Holthausen et al., 1995). In contrast, if managers have a certain 8
  • 9. proportion of their wealth materialized in shares of the company that they lead, at most directly affect their personal wealth on the decisions taken will tend to align, to a greater extent, their interests with other shareholders (convergence of interests’ hypothesis) and show less discretionary behaviour (Chaganti & Damanpour, 1991; Mehran, 1995; Alonso & De Andres, 2002; Minguez & Martin, 2003). However, excessive internal ownership may also have an adverse effect on the company, because the higher power of the managers could lead them to take accounting decisions that reflect personal reasons, affecting the goal of maximizing the value of the company (Yermack, 1997; Aboody & Kaznik, 2000). In line with this, Weisbach (1988) and Fernandez et al. (1998) point out that managers could use the higher power contained by their shares to avoid be removal in case of inefficient behaviour. In this way, arise the entrenchment hypothesis pointed out by Fama y Jensen (1983), which established that high levels of internal ownership could lead to a greater EM by managers (Cornett et al., 2008). Therefore, Yeo et al. (2002) concludes that the informativeness of accounting results increases with low levels of internal ownership, while for high levels, the internal ownership is not sufficient as alignment interest’s mechanism (Mork, et al., 1988; Wartfield et al., 1995; Sanchez-Ballesta & Garcia-Meca, 2007). In Latin American context, Santiago et al. (2009) for a sample of listed companies in Brazil, Chile and Mexico, found that a small number of insiders owns shares of companies, making this group unable to exert a great influence on decisions and strategies taken by the board of directors. This suggests an agency problem, because the internal directors' interests seem not aligned with the interests of the other shareholders (convergence of interests’ hypothesis), that could increase the likelihood of managers to use manipulative practices for their own benefit (Koh, 2003; Bowen et al., 2004; LaFond & Roychowdhury, 2006), reducing the quality of the information issued by companies in Latin America (Lopez & Saona, 2005). However, Machuga & Teitel (2009) who analyzing earnings quality surrounding the 9
  • 10. implementation of Code of Best Corporate Practices for a sample of Mexican listed companies, found that firms with a fewer internal ownership shows a greater earnings quality compared to those firms that not have managerial ownership, i.e. shows less manipulative practices by managers. Therefore, the argument that insider ownership constrains the opportunistic interest of managers suggests a negative relation between the proportion of shares held by insiders and the absolute value of discretionary accruals. Nevertheless, the argument that high levels of insider ownership can become ineffective in aligning insiders to take decisions that maximizes the firms value, suggests a positive relation. Similarly, although the convergence of interests’ hypothesis suggests a positive association between the informativeness of earnings and insider ownership, the entrenchment hypothesis leads to a negative relationship, suggesting that when accountings numbers are less informative in measuring the firm performance, high managerial ownership is likely organizational response. In this way, we address the competing views by testing the following unsigned hypothesis: H1: The insider shareholding affects earnings management. 2.1.2. Ownership Concentration The degree of ownership concentration is an important factor because it helps to overcome the problem of the lack of incentives for monitoring. Several studies shows the importance of concentrated ownership structures in which one or a few major shareholders exert a highlighted level of control on listed companies (Demsetz, 1983; Shleifer & Vishny, 1986; La Porta et al., 1998; Lefort & Walker, 2000; Han, 2004; Lefort, 2005; Sanchez-Ballesta & Garcia-Meca, 2007; Cespedes, 2008). The basic idea lies in that large shareholders has incentives to take responsibility and cost involved in the monitoring of managers, unlike small shareholders who tend to adopt a passive attitude in defence of their interest. 10
  • 11. In this way, large shareholders play a key role on internal control of companies, because the volume of participation encouraged them to monitoring and influence in the strategy of the firm where they have invested (Fernandez et al., 1998; Yeo et al., 2002; Gabrielsen et al., 2002). This means that a greater ownership concentration should conduct, in accordance with the efficient monitoring hypothesis (Jensen & Meckling, 1976), to a less opportunistic behaviour and a greater tendency to maximization the value of the firm (Fama, 1980; Fama & Jensen, 1983), having a positive impact on the informativeness of accounting earnings, since when increasing the participation of the controlling shareholder reduce the incentives of this owner to expropriate the wealth of minority shareholders (McConnell & Servaes, 1990; Agrawal & Knoeber, 1996; Demsetz & Villalonga, 2001; De Miguel et al., 2004; Boubraki et al., 2005). In this sense, De Bos & Donker (2004) point out that increased ownership is an effective CG mechanism in monitoring accounting decisions taken by management that implies a higher earnings quality and a strong positive effect on earnings informativeness (Yeo et al., 2002). However, when the level of ownership concentration is too high it can lead to agency problems due to the expropriation of the minority shareholders’ interests (La Porta et al.. 1998, 2000, 2002, Leuz et al., 2003; Boubraki et al., 2005; Lefort, 2007). In this way, arise the entrenchment effect formulated by Morck et al. (1988), based on the influence of the controlling shareholder over the information provided by company to the market (Zingales, 1994; Shleifer & Vishny, 1997; Sanchez-Ballesta & Garcia-Meca, 2007), where the external investor will put scant attention to financial data, because he expects it to remain objective, to a greater extent, the particular interests of the majority owner rather than a true reflection of the economic consequences of transactions made by the company (Fang & Wong, 2002). In Latin America there are two important aspects that characterize the structures of ownership and corporate control: first, companies shows a high degree of ownership 11
  • 12. concentration and, second, many firms are directly controlled by one of the industrial or financial conglomerates that operate in the region (Khanna & Palepu, 2000; Lefort, 2003; Lefort & Walker, 2005, 2007; Lopez & Saona, 2005; Cespedes et al., 2008). In their studies, Santiago et al. (2009) and Saona (2009) for a samples of companies in Chile, Brazil and Mexico, found that 96% of Chilean companies are affiliated to a conglomerate, followed by 72% of Brazilian companies and 57% of Mexican firms. Usually, the majority shareholder holds the power of the conglomerates through complex structures of ownership, called pyramids2. The problem with pyramidal structures is that they allow a phenomenon known as tunneling3, whereby the last shareholder can divert resources among different companies of the pyramid, of course in their own benefit, hiding the true structure of the company and distorting the relationship between ownership and control (Shleifer & Vishny, 1997; Bertrand & Mullainathan, 2002; Mendes & Mazzer, 2005). This type of governance structure can infer on the quality of the financial results of companies in Latin America, increasing EM. Therefore, the argument that a greater ownership concentration should conduct, in accordance with the efficient monitoring hypothesis, to a less opportunistic behaviour and a greater tendency to maximization the value on the firms’ informative quality of accounting earnings, suggests a negative relation between the proportion of shares held by large shareholders and the absolute value of discretionary accruals. However, the argument that high levels of ownership concentration can lead to agency problems due to the expropriation of the minority shareholders’ interests, in accordance with the entrenchment effect, suggests a positive relationship. In this way, we address the competing views by testing the following unsigned hypothesis: H2: The ownership concentration affects earnings management. 2.1.3. Family Ownership The Agency theory assumes that moral hazard problems are lower in companies with 12
  • 13. concentrated ownership structures, given the incentives and the greater ease with which the big shareholders can monitor the management team. If the companies management is in hands of the owners, as usually occurs in family firms, will tend to eliminate the agency problem that arises from the separation of ownership and control, achieving greater alignment of interests between shareholders and management, resulting in a higher value creation in the company through the benefits arising from the increased monitoring (Shleifer & Vishny, 1986). In this sense, several studies have shown how certain distinctive characteristics of family firm have a positive impact on corporate behaviour. More specifically, in their study of a sample of 500 US firms between 1992 and 1999, Anderson et al. (2003) reveal that family firms achieve higher levels of performance than non-family firms. This result would be justified by certain characteristics associated with family nature of the firm, such as it long- investment horizons and its reputation concerns. In this sense, compared with other types of owners, families are interested in remaining in the firm over a long period time, so they are more prone to make investments that maximize value in the long term (Anderson & Reeb, 2003; Jaggi et al., 2009). Thus, a family owner would tend to have incentives to follow market rules when making decisions, since the firm is not considered a resource to be consumed during the owner’s lifetime but rather an asset to be transferred to his/her heirs in the future (Dyer, 2003). Therefore, the firm’s survival becomes a “family matter” in this type of enterprise. Furthermore, Anderson et al. (2003) suggest that the long-term ties typical of the family owner mean that external agents, such a supplier or lenders, develop their business with the controlling family over a long period of time. This leads to those external agents perceiving a “family reputation” that has economic consequences that last not only for owners’ lifetime, but throughout the lives of his/her heirs. On the same lines, Wang (2006) and Ali et al. (2007) states that long-term orientation and 13
  • 14. reputation concerns means that family firms do not act opportunistically in reporting earnings, such those actions that are more in line with a short-term orientation. These authors uses these arguments to offer possible explanations for the result obtained in his study using a sample of U.S. firms and concludes that family firms provide better earnings quality than non-family firms, leading to reduced managerial discretion that results in better performance of the companies (Anderson et al., 2004). At this point, it could be concluded that compared with non-family firms, controlling family firms would tend to maximize the firm’s wealth in the long term. Thus, there would be fewer incentives to obtain private benefits at the expense of minority shareholders, which in turn could result in a higher earnings quality (Bona et al., 2008). However, Wang (2006) and Ali et al. (2007) also point out that one of the main limitations that have their studies is the difficulty to extend their results to other settings where there is a lower protection of minority shareholders, and consequently, more concentrated ownership structures such as Latin American context. This is because the presence of concentrated ownership structures and the presence of family groups may trigger other problems of CG. In this sense, when there are large shareholders on firms it is more likely to arise conflicts of interests between these parties and the minority shareholders. In family firms, given their greater information asymmetries, the likelihood of expropriation of corporate resources is high, including the likelihood of entrenchment of unskilled family management team (Mcvey et al., 2005; Sacristan & Gomez, 2007). According with this argument, Castrillo & San Martin (2007) for a sample of Mexican companies, studying the relationship between ownership structure and the board of directors with managerial discretion, finding that family ownership and the level of corporate leverage explain the degree of discretion that managers have to manipulate accounting numbers in Mexico. They also point out that the high concentration of family ownership is a mechanism 14
  • 15. usually used to align the interest of the company in benefit of the majority shareholder, in detriment of minority shareholders. Other studies conducted on Latin American context such as Castañeda (2000a, 2000b) and Rabelo & Coutinho (2001) shows that a high family participation exerts a decisive influence on the control of companies, where the owners usually issued non-voting shares and develop pyramidal ownership structures to obtain funds without dispersing their capacity to control the companies. According to previous arguments, it could be argued that the greater concentration of voting rights could entail greater incentives for controlling shareholders to obtain private benefits, i.e. increasing EM (Bona et al., 2008). In this respect, some studies have provided evidence on the expropriation actions carried out by family groups. DeAngelo & DeAngelo (2000) shows how the controlling family of a large North American firm cut dividends to minority shareholders while paying itself a special dividend. Similarly, drawing on data based on a entire population of Spanish newspapers Gomez-Mejia et al. (2001) analyze the role that family relations play in agency contracts and provide evidence of the entrenchment of the chairman of the board when he/she has a family ties with the controlling shareholders. In those circumstances, controlling shareholders would have incentives to manipulate the accounting information in order to avoid the cost associated with the detection of this kind of behaviour (Fan & Wong, 2002; Haw et al., 2004; Francis et al., 2005; Santana et al., 2007). In this way, Fan & Wong (2002) states that, when an owner effectively controls a firm, she/he also controls the production of the firms’ accounting information and reporting policies. Therefore, the argument that a greater family ownership should conduct to a positive impact on corporate behaviour, justified by certain characteristics associated with family nature of the firm such as it long-term investment horizons and its reputation concerns, leading to reduced managerial discretion that results in a better performance of the firms, 15
  • 16. suggests a negative relation between the proportion of shares held by family owners and the absolute value of discretionary accruals. However, the argument that high levels of family ownership can lead to agency problems due to the expropriation of the minority shareholders’ interests, suggests a positive relationship. In this way, we address the competing views by testing the following unsigned hypothesis: H3: The family ownership affects earnings management. 2.1.4. Institutional Ownership The literature review carried out related to the influence of institutional ownership on EM, reveals the existence of two conflicting views regarding the general role of institutional investors in the companies. On one hand, Porter (1992) and Bhide (1993) argue the fragmented ownership that usually have these institutional investors and the frequency of trading investments, does not actively engage in CG of companies that are part of their portfolios. Furthermore, Bushee (1998) and El-Gazzar (1998) argue that institutional investors plays an active role in controlling managerial discretion and improve the efficiency of information in capital markets, being sophisticated investors with advantages to acquire and process information (Balsam et al., 2002; Jiambalvo et al., 2002; Koh, 2003; Han, 2004; Ferreira & Matos, 2008; Ruiz et al., 2009; Ferreira et al., 2010), limiting the opportunism and promoting the reduction of agency costs (Shleifer & Vishny, 1997; Rajgopal et al., 2002; Chung et al., 2002). In this way, Koh (2003) and Hsu & Koh (2005) proposed that the role of institutional investors in firms can be approximated considering the level of participation of the institutional shareholders in them, i.e., that institutional ownership may act as a governance mechanism that affects the EM based on the level of their participation. In concrete, low levels of investor participation is assimilated to temporary or short-term view, whereas when the level of participation increases, the institutional investor is assimilate as an investor more engaged with the company, and hence, involved in the resolution of conflicts 16
  • 17. that may arise therein. In Latin America context, Lefort (2005) pointed out that institutional investor have an important role in CG of companies. The early reform of the pension funds in Chile, followed later by Argentina, Colombia, Peru and Mexico, gave to institutional investors an important role as providers of capital and prompted several changes to the laws of capital markets in the region, helped to substantially improve the protection of minority shareholders (Iglesias, 2000), given the nature of funds administered and their political influence. In this way, Walker & Lefort (2001) shows that the participation of institutional investors create a more dynamic legal framework in capital markets using good CG practices that improves transparency of accounting information, reducing the cost of capital in firms. Therefore, the argument that a higher institutional ownership should conduct to a positive impact on corporate behaviour, because the managers would be discouraged to make EM due to the pressure from institutional investors to focus in long term, suggests a negative relation between the proportion of shares held by institutional owners and the absolute value of discretionary accruals. However, the argument that low levels of institutional ownership could lead to managers to manipulate accountings numbers, due to the short-term vision and the preference for short-term gains, suggests a positive relationship. In this way, we address the competing views by testing the following unsigned hypothesis: H4: The institutional investors affect earnings management. 2.2. Board of Directors The board of directors is the governance body in which shareholders delegate the responsibility to oversee, compensate and substitute managers, as well as to approve major strategic projects, and therefore plays a key role in the overall oversight of the company and the monitoring of top management, in particular (Jensen & Meckling, 1976; Jensen, 1993; 17
  • 18. John & Senbet, 1998; Daily et al., 2003; Chatterjee et al., 2003). In this way, the board of directors is an essential element of CG and is considered the main internal mechanism to reduce agency conflicts, either between managers and shareholders or between majority and minority shareholders (LaFond & Roychowdhury, 2006; De Andrade et al., 2009). The CG literature shows different characteristics that may influence in the effectiveness with which the boards monitor the performance of managers in firms (John & Senbet, 1998; Rahman & Ali, 2006). In this sense, this influence depends on the ability of control that exert the board over the top management (Brick et al., 2005), which can be affected by aspects such a number and type of directors (Karamanou & Vafeas, 2005), the ownership structure of the firm (Kim & Yi, 2006), the quality of CG system (Gibson, 2003), the activism of institutional investors (Koh, 2003), the CEO duality or concentration of power (Saleh et al., 2005; Hashim & Devi, 2008), the existence of specific committee (Klein, 2002; Goodwin & Kent, 2006), the presence of a hostile takeover market or the existence of a competitive labour market (Brick et al., 2006; De Andrade et al., 2009). Although, according to Fernandez et al. (1997), most of the previous CG literature discusses two mainly characteristics or variables that influence the monitoring capabilities of boards: its independence and size. In this way, a part of these two characteristic, we analyze its activity and the CEO duality or concentration o power. The next sections describe the development of the hypotheses related to the four board characteristics examined in our study. 2.2.1. Board Size Studies such as Davila & Watkins (2009) in Mexico and Ferraz et al. (2011) in Brazil, found that if the size of Board is very small the monitoring of the management team is smaller too, so they tend to a greater discretion to receive a higher remuneration, a greater chance of EM and a more likely to information asymmetry (Fernandez et al., 1998; Azofra et al., 2005; Brick, et al., 2006). Thus, a larger size of board assumes a better supervision of the 18
  • 19. management team and a higher quality of corporate decisions (Pearce & Zahra, 1992). In this sense, Chin et al. (2006) for a sample of 313 firms from Hong Kong, found a negative relationship between the size of the board and EM, concluding that a larger board fewer are the manipulative practices made by the management of companies. However, excessive size can be an obstacle for quick and efficient making decisions, due to problems of coordination and communication. In this sense, Santiago & Brown (2009) in a sample of 97 companies in Brazil, Chile and Mexico, found a positive relationship between the size of the board and EM. This indicates that the low separation between ownership and control that exists in Latin American companies assumes that a larger size of the board the levels of monitoring over the management team decreases, so it increases the risk of expropriation by controlling shareholders and the propensity to the discretion of the board members to establish a higher level of remuneration and manipulate the results of companies for their own benefit (Jensen, 1993; Yermack, 1996; Fernandez et al., 1997; Eisenberg et al., 1998; Sanders & Carpenter, 1998; Core et al., 1999; Thomsen, 2008). In line with this, Xie et al. (2003) for a sample of 110 U.S. companies, shows a positive relationship between size of the board and EM, concluding that a larger size of board greater are the manipulative practices made by the management of companies. Finally, Bradbury et al. (2006) in a sample of companies in Malaysia and Singapore found no relationship that links the size of the board with the EM. Since we do not can say that there is a conclusive position about the effects that board size might have on the quality of results in companies, we formulate the following unsigned hypothesis: H5: The board size affects earnings management. 2.2.2. Board Independence Because previous CG literature shows that independence is often considered as a substitute for transparency and disclosure of annual reports, recommending that a number of 19
  • 20. external members in board of directors are greater than the owners, for there to be more oversight of management and to maximize the value of the organization (Zattoni & Cuomo, 2010; Ferraz et al., 2011). This suggests that the degree of board independence is directly related to the quality of information that firms issues (Cheng & Courtenay, 2006). Also, CG literature affirmed that a greater degree of board independence provides more control over the development of company activities and a better defence of the issue of information as a mechanism to carry out processes of accountability to different groups of business interest, because the external directors are not linked to the management of the entity (Willekens et al., 2005; Karamanou & Vafeas, 2005; Cheng & Courtenay, 2006). Thereby, seeks fairness in the strategic decisions taken by the board and effective monitoring of the decisions and activities of managers, thus ensuring transparency of information and proper image on the outside of organizations (Chen & Jaggi, 2000; Patelli & Prencipe, 2007). Furthermore, several studies provide empirical evidence relating to the role of external directors on the constriction of EM, documenting that a higher proportion of external directors, greater and better will be the quality of financial information that is issued by firms, reducing the chances of EM (Klein, 2002; Xie et al., 2003; Peasnell, 2005; Davidson et al., 2005; Garcia-Osma & Gill de Albornoz, 2005, 2007; Bradbury et al., 2006; Jaggi et al., 2009). However, Park & Shin (2004) argues that transparency of information and effectiveness in containing manipulative practices may be seriously compromised by the type of CG and, particularly, by the high ownership concentration that could neutralize performance of the external directors. In this way, the Securities and Exchange Commission (SEC) of the United States noted that in Latin America, given the widespread use of pyramidal structures and the high degree of participation that have the controlling shareholders in the daily activities of Latin American firms, generally the boards of directors are mainly integrated by internal directors, who tends to be associated with the majority shareholders and/or control groups, 20
  • 21. making boards less effective in monitoring the decisions taken by managers opposed to those boards that have a majority of external directors4 (Santiago & Baek, 2003; Lefort, 2005; Helland & Sykuta, 2005). In this sense, external directors have a very limited participation that facilitates the EM and managerial discretion (Silveira et al., 2003; Schiehll & Santos, 2004). Nevertheless, most recent studies such as Price et al. (2006, 2007), Teitel & Machuga (2008), Chong et al. (2009), Davila & Watkins (2009) and Ferraz et al. (2011) shows that legal framework in capital markets (such a Code of Best Corporate Practices) forced Latin American firms to include more external directors, allowing to improve the way that firms disclosed their financial information, showing a greater transparency in their reports and decreasing the chances of EM. By the above, we formulate the following hypothesis in the sense that it could be expecting a possible negative association between the degree of board independence and EM: H6: The boards independence affects negatively on earnings management. 2.2.3. Board Activity Another characteristic related to the board of directors is its activity, measured by the number of meetings, since its size and independence are necessary but not sufficient. Thus, Adams (2003) and Garcia Lara et al. (2009) suggest that the number of meetings is a good proxy for the directors’ monitoring effort. As Menon & Williams (1994) notes, boards that do not meet, or meet only a few numbers of times, are unlikely to be effective monitors. In this way, Eguidazu (1999) argues that it is also essential that the boards being active and understand its task as a continuous process, and empirically Vafeas (1999) has demonstrated the existence of a direct relationship between the board activity and the profitability of the firm. In consequence, is possible that boards with more engaged on their duties take a more active stance in order to safeguard the quality of accounting information, so hopefully, in 21
  • 22. principle, a negative relationship between the board's activity and EM (Monterrey & Sanchez, 2008). An opposing view is that board meetings are not necessarily useful because routine task absorb much of limited time that directors and CEO’s spend together to set the agenda for board meetings (Lorca et al., 2011). By the above, we formulate the following hypothesis in the sense that it could be expecting a possible negative association between the boards activity and EM: H7: A greater number of board meetings influences negatively on earnings management. 2.2.4. CEO Duality It is understood that there is concentration of power in a company when the same person takes charge of chief executive and president of the board. This assumption of power increases, from the perspective of the Theory of Agency, the risk that the chief executive can develop strategies that promote their personal interests (Jensen & Meckling, 1976; Jensen, 1986) encouraging the management team to adopt decisions for their own benefit without considering the interests of owners and even develop actions against them (Cole et al., 2001; Jensen & Zajac, 2004), which could create information asymmetries and conflicts of interest, thus leading to inefficiency in CG (Fama & Jensen, 1983; Jensen, 1993). Furthermore, the existence of duplicity of functions arises the illogical that the manager is controlled by himself, i.e., has a greater power to influence members of the board of directors, which alters the functioning of the company and the handling of the ownership structure of companies (Cyert, 2002; Dahya & Travlos, 2002; Brick et al., 2006; Faleye, 2007; Ganga & Vera, 2008). Also, CEO duality may damage the transparency of information of the company, raising the possibility of the development and disclosure of fraudulent financial statements (Forker, 1992; Pi & Timme, 1993; Hashim & Devi, 2008). Some empirical studies developed in Latin America, shows that in practice is not fulfilled with the separation of roles between the president and CEO, despite the recommendations of 22
  • 23. the Codes of Good Governance, given the high concentration of ownership and control held by families that produces an effect of entrenchment by the chairman of board of directors when it maintains family ties with the major shareholders. In this sense, in Mexico, Castañeda (2000b) found that in 85% of Mexican companies listed on the Stock Exchange in New York, the majority owners presides the board of directors and also exerted the role of CEO. However, Husted & Serrano (2002) argues that while in Mexican firms, the family retained both functions, a group of them showed that the majority owner delegated the role of general manager to a family member, which responds to succession process and the need to provide a resource management of the business trust (Hoshino, 2004; Ruiz-Porras & Steinwascher, 2007). Also, Leal & Carvalhal (2005) in Brazil, through the application of surveys on a sample of 400 listed companies, documented that 36% of companies have concentrated power in the same person. In Argentina, Chisari & Ferro (2009) for a sample of 100 listed firms, found that 75% of the corporations the chairman and CEO are the same person. This situation is not very different in Chile, Lefort and Walker (2005) obtained similar results in a sample of 120 listed companies, pointing out that only in 21% of corporations Chairman of the board is independent, that is, not have duplication of functions between President-CEO, a situation that is widespread throughout Latin America. By the above, we formulate the following hypothesis in the sense that it could be expecting a possible positive association between the CEO duality and EM: H8: The existence of concentration of power (CEO duality) increases earnings management. 2.3. Government Index While corruption is prevalent in emerging countries, there is increasing focus on the degree of its predictability to affect the effective functioning of governments and economies 23
  • 24. (Gill & Kharas, 2007; Aidt, 2009). Voliotis (2011) looked at different forms of organisational corruption at the European Union; Galang´s (2011) study reviewed the corruption literature in leading management journals while Dela Rama (2011) looks at how the CG of family-owned business groups, deals with different forms of corruption in Asia. However, literature regarding ethical aspects on Latin American countries is scarce and the effects on discretional behaviour have not been tested yet. Thus, we use the Government Index (GOV_Index) taken from the research project “Worldwide Governance Indicators” (WGI)6 proposed by Kaufmann et al. (2010) and published by the world Bank7 between the periods 2006-2009. In this way, we integrated this index using three mainly indicators that previous literature have shown as more important factors to measure the way in which the governability of a country helps to reduce or even increase the opportunistic behaviour in firms: Control of corruption, rule of law and government effectiveness (Aidt, 2009; Voliotis, 2011; Galang, 2011). In this sense, low levels of governability (a low index value) imply, generally, behaviours that affect the trust placed in public officials and, therefore, undermine the basis of government trust (Shleifer & Vishny, 1993). The presence of corruption, the lack of confidence and respect of the agents in the quality of contract enforcement, property rights, courts, as well as the ineffectiveness of governments about the implementation and formulation of policies, increase the risk of the entrepreneur, because people from outside value chain may have opportunistic behaviour and take advantage of their profits, situation that is feasible due to the relatively high levels of asymmetry information that characterize the economic activity (Anokhin & Schulze, 2008). In addition, the corruption, the inefficiency of governments and a weak rule of law as well as other weaknesses in the country infrastructure, increase transaction and agency costs, limiting the income of the firms (Manzetti & Wilson, 2007) and, in consequence, increase the opportunistic behaviour of firms. By contrast, control of corruption, a strong rule of law and a 24
  • 25. effectiveness of government (a high index value) increase the chance that entrepreneurs capture a larger portion of the revenues that they generate by increasing the reliability of cash flows (Rose-Ackerman, 2001) and, consequently, reduce the opportunistic behaviour in firms. Furthermore, in recent years Latin American countries have been made reforms to their legal frameworks, modifying laws and established harder punishments to those persons who are demonstrated a corruption practice. By the above, we formulate the following hypothesis in the sense that it could be expecting a possible negative association between the government index and EM: H9: A country with higher levels of governability shows a lower opportunistic behaviour, i.e. the firm’s shows lower levels on earnings management practices. 3. Design and Research Methodology 3.1. Sample and Data The sample is obtained from companies listed on the Mexican Stock Exchange (Bolsa Mexicana de Valores), Santiago Stock Exchange (Bolsa de Comercio de Santiago), Stock Market of Buenos Aires (Mercado de Valores de Buenos Aires) and the Sao Paulo Stock Exchange (Bolsa de Valores de Sao Paulo) during the period 2006 to 2009. Financial institutions are excluded, as is common in this type of studies because their particular accounting practices. The accounting data on financial statements obtained through Economatica database, while data on CG and ownership structure are obtained directly from annual reports submitted by companies to the different regulatory agencies8 and which are available in their Web site. In this way, we get information for 435 firms and a total of 1,740 observations by the period from 2006 to 2009. The composition of the sample allows the combination of time series and cross sections with an adequate opportunity to take advantage in the creation of a panel data, especially in the control of unobserved heterogeneity, i.e. the individual characteristics of each entity that are not observable but affects the variables under 25
  • 26. study (Arellano & Bover, 1991; Arellano, 1993; Himmelberg et al., 1999; Palia, 2001; Brick et al., 2005). Additionally, since at present is widely accepted the idea of using unbalanced panels with total observations is discarded the option of analyzing balanced panels with fewer companies, because it may be conditioned by the survival bias (Baltagi & Chang, 1994). 3.2. Models and Variables Definition Because the intention of investigating the influence that CG mechanisms have on EM, measured by discretionary accruals, we regress the absolute value of discretionary accruals [Abs (DCA)it] on the variables of ownership structure, board of directors and control used in previous literature, according to the following model: Abs(DAC)it= Β0 + β1 (Int_OW ) + β2 (OW _Con) + β3 (Fam_OW ) + β4 (Inst_OW ) + β5 (Board_SIZE) + β6 (Board_I D) + β7 (Board_ACT) + β8 (CEO_Dual) + β9 (GOV_Index) + β10 (Control) + ηi + λt + υit The unobserved heterogeneity is controlled in the two models through individual effects of companies (ηi). Also, we included dummy variables to control the temporal effects (λit) and the error term (υit). As a proxy for internal property (Int_OWN) we use the proportion of shares ≥ 1% owned by members of board of directors and managers of the firms; the ownership concentration (OWN_Con) is measured by the proportion of shares owned by the major shareholder of the company, because many firms in Latin America are directly controlled by one of the industrial or financial conglomerates that operate in the region (Lefort & Walker, 2005, 2007; Lopez & Saona, 2005; Cespedes et al., 2008); the family ownership (Fam_OWN) is measured by the proportion of shares held by family members, i.e. the percentage of capital that is directly or indirectly in their hands ≥ 5% and; the institutional ownership (Inst_OWN) through the proportion of shares held by institutional investors. Moreover, the board size (Board_SIZE) is measured by the total number of directors that 26
  • 27. integrate the board of directors; the board independence (Board_IND) is measured by the proportion of external directors inside the board (external directors / total directors) and with a dummy variable (Board_IND50) that takes the value of one when the board comprises with a majority of external directors; the board activity (Board_ACT) is measured by the number of meetings held during the year; the President-CEO duality (CEO_Dual) is measured through a dummy variable that considers the value of 1 if there is duality of roles between the chairman and CEO of the firm and, 0 otherwise. Finally, the government index (Gov_Index) that measure the governability level of the country (control of corruption, rule of law and government effectiveness). On the other hand, we control the effect of various factors through the inclusion of variables to our model, which have been used in previous studies and have been associated with EM and CG. Thus, the variable quality and reputation of the external auditor (Big_4) measured by a dummy variable that takes the value 1 if the company is audited by one of the big four audit firms, 0 otherwise. In this way, several studies indicate that quality of accounting information will be linked to the prestige and quality of the external auditor (DeFond & Jiambalvo, 1991, 1994, DeFond, 1992; Teoh & Wong, 1993; Dechow et al., 1996; Lennox, 1999a, 1999b; Jara & Lopez, 2007), because most reputable auditors limit the possibility of EM (Becker et al., 1998; Francis et al., 1999; Kim et al., 2003; Van Tendeloo & Vanstraelen, 2005) and therefore, the financial statements audited by these firms have greater credibility (DeFond & Subramayan, 1998; Teoh et al., 1998). Another control variable is the firm size (Log_ASSET) measured by the natural logarithm of total assets at the end of year (Sanchez & Sierra, 2001; Navarro & Martinez, 2004), controlling with it the effects of company size on accounting choice. Authors generally expect, and often proves, a negative relationship between firm size and EM, given that in larger companies are expected to have more sophisticated control systems, skilled advisers, 27
  • 28. more negotiating power with the external auditor and are subject to increased monitoring by investors and analysts, so accounting fraud is less probable than in smaller firms, where the managers of these companies have more opportunities to manipulate the information (Beasley et al., 1999; Bartov et al., 2000; Reynolds & Francis, 2000; Sanchez & Sierra, 2001; Klein, 2002; Richardson et al., 2002; Lee & Choi, 2002; Navarro & Martinez, 2004; Garcia Osma & Gill de Albornoz, 2005; Cahan & Zhang, 2006; Goodwin & Kent, 2006; Prior et al., 2008). Moreover, we includes the indebtedness level variable (Debt), calculated as the ratio of total debt and total assets. Thus, a high indebtedness is associated with the risk of excessive leverage (Press & Weintrop, 1990), which motivates the EM to conceal inconvenient information and display a greater capacity to generate resources (DeFond & Jiambalvo, 1994; Sweeney, 1994; DeAngelo et al., 1994; Dechow et al., 1995; Krishnan et al., 1996; Frankel et al., 2002; Balsam et al., 2003). Additionally, following the study of Francis & Wang (2004) we include two control variables on firm performance. The first is the growth variable (GROWTH), measured in terms of the relation of the difference in sales and sales of the previous period for firm i in year t, which indicates that firms with high growth rates are more likely to use discretionary accruals (McNichols, 2000). The second is the variable (ROA), calculated by the ratio between earnings before extraordinaire, interest and taxes of year t and the total net assets at beginning of year t, and positively related to the use of discretionary accruals. This suggests that managers are motivated to manipulate the results upward, i.e., increase the benefits obtained with the intention to make the company more attractive (Kothari et al., 2005; Machuga & Teitel, 2007). Also, because a poor financial situation of the company could increase agency costs and encourage the management to manipulate the accounting numbers (Nurul et al., 2010; Sierra et al., 2010) we includes the control variable loss (Loss) which is measured through a dummy 28
  • 29. variable that takes value of 1 if the company has had losses in the last two years and, 0 otherwise. Finally, we consider the sector of activity variables (IND) and year (YEAR), being these important factors of measurement, because in sectors and specific years could have a better results to identifying discretionary accruals (McNichols et al., 1988; Roychowdhury, 2006). 4. Analysis and Results 4.1. Descriptive Analysis Table 1 displays the descriptive statistics and t values of discretionary accruals for estimated [Abs (DAC) it], showing that mean values of discretionary accruals are, in all cases, statistically different from zero. This does not allow us to reject the null hypothesis and, therefore, provides evidence that Latin American companies manipulate their results, either by increasing the benefit to denote a better and higher profitability of the company or, on the contrary, reducing the benefit as fiscal strategy aims to pay fewer taxes and contributions. TABLE 1: Descriptive Statics of Discretionary Accruals [Abs (DAC)it] Estimations by Year Year N Mean Median Std. Dev. T Adjusted R2 DAC-2006 435 0.224 0.119 0.441 0.619 0.536 DAC-2007 435 0.278 0.112 0.704 -1.070 0.285 DAC-2008 435 0.198 0.122 0.293 1.567 0.118 DAC-2009 435 0.249 0.142 0.420 -0.243 0.808 Global 1,740 0.237 0.121 0.489 1.459 0.447 For its part, Table 2 shows the mean, median, standard deviation and the associated t- Value of the estimated coefficients of the absolute value of discretionary accruals [Abs (DAC)it] per country. In it, can be seen that the model significantly explained variations in the coefficients of discretionary accruals, as its explanatory power shows Adjusted R2 values (significance level) above 40% for all the countries. 29
  • 30. TABLE 2: Descriptive Statics of Discretionary Accruals [Abs (DAC)it] Estimations by Country Country N Mean Median Std. Dev. T Adjusted R2 Argentina 308 0.247 0.137 0.425 0.412 0.744 Brazil 480 0.293 0.152 0.481 1.749 0.476 Chile 532 0.236 0.101 0.651 1.852 0.542 Mexico 420 0.167 0.110 0.198 1.493 0.408 Global 1,740 0.237 0.121 0.489 1.459 0.447 Table 3 shows the main descriptive statistics of quantitative and dichotomous variables. Thus, with respect the board characteristics variables it can be seen that in the four countries analyzed, generally, companies boards meets on average 5 times a year. It can also be seen that boards are composed with a mean of 11 members, of whom 38.5% are external directors, a fact that clearly indicates that the composition of this organ of government is a majority of internal members, thus demonstrating control and domain that have families on this governing body (Santiago & Brown, 2009; Santiago et al., 2009). Our result contradicts the recommendations highlighted in previous studies that recommend an integration of boards by a majority of external directors (Hermelin & Weisbach, 2003; Sanchez & Guilarte, 2006, 2008; Zattoni & Cuomo, 2010); and is in line with results of previous studies conducted in Latin America which document, likewise, a composition of boards by a majority of internal directors (Silveira et al., 2003; Schiehll & Santos, 2004; Lefort, 2005, Ferraz et al., 2011). Regarding the ownership structure, Table 3 shows that Mexican companies reveal to have a higher family engagement with the 37.1%, followed by Argentinean (35%), Chilean (26.2%) and Brazilian (24%) companies. The ownership concentration (major shareholder) reflects an average of 29.4% of the social capital of firms. In this way, Chilean companies are those that revealed have a higher shareholding concentration with 32.2%, followed by Brazilian (29.3%), Mexican (28.6%) and Argentinean (27.5%) firms. Moreover, regarding to the internal ownership (top management), it can be seen that manager and directors holds, on average, 6.1% of the social capital of companies. Thus, Brazilian firms are those that revealed 30
  • 31. have a higher internal ownership with 7.3%, followed by Argentinean (7.1%), Chilean (6%) and Mexican (4.5%) companies. Finally, the institutional ownership indicates an average value of 22.8% of social capital held by institutional investors. Thus, Brazilian companies are those that have revealed a higher participation of institutional investors with 23.9%, followed by the Chilean (23.8%), Argentinean (21%) and Mexican (20.6%) firms. TABLE 3: Descriptive Statistics of Quantitative and Dichotomous Variables Observations by Country Variable Statistics Argentina Brazil Chile Mexico Global a) Quantitative Variables 1 N 308 480 532 420 1.740 Int_OWN Mean 0.071 0.073 0.060 0.045 0.061 Std. Dev. 0.046 0.048 0.047 0.038 0.046 Mean 0.275 0.293 0.322 0.286 0.294 OWN_Con Std. Dev. 0.106 0.102 0.118 0.101 0.107 Fam_OWN Mean 0.350 0.240 0.262 0.371 0.305 Std. Dev. 0.163 0.177 0.181 0.181 0.179 Inst_OWN Mean 0.210 0.239 0.238 0.206 0.228 Std. Dev. 0.145 0.136 0.135 0.135 0.137 Mean 11.49 11.38 11.54 11.47 11.47 Board_SIZE Std. Dev. 3.82 3.69 3.60 3.66 3.67 Mean 0.400 0.394 0.366 0.375 0.385 Board_IND Std. Dev 0.730 0.891 0.077 0.862 0.083 Mean 5.42 5.37 5.33 5.15 5.31 Board_ACT Std. Dev. 2.49 2.50 2.47 2.38 2.46 Mean 41.13 51.12 88.05 48.78 49.73 GOV_Index Std. Dev. 3.25 2.51 0.68 2.06 18.78 Mean 13.32 13.39 18.39 16.09 15.58 Log_ASSET Std. Dev. 1.91 1.75 2.32 1.70 2.93 Mean 0.396 0.504 0.280 0.227 0.350 Debt Std. Dev. 1.371 0.691 0.924 0.158 0.862 Mean 4.47 4.58 9.18 6.96 6.56 ROA Std. Dev. 1.84 1.67 2.36 1.70 2.79 Mean 0.236 0.531 0.103 0.124 0.249 GROWTH Std. Dev. 0.617 2.221 0.299 0.484 1.241 b) Dichotomous Variables 2 Variable Statistics Argentina Brazil Chile Mexico Global N 308 480 532 420 1.740 Board_IND50 0 148 48.1% 240 50.0% 316 59.4% 224 53.3% 928 53.3% 1 160 51.9% 240 50.0% 216 40.6% 196 46.7% 812 46.7% 0 99 32.1% 193 40.2% 209 39.3% 172 40.9% 673 38.7% CEO_Dual 1 209 67.9% 287 59.8% 323 60.7% 248 59.1% 1,067 61.3% 0 144 46.8% 199 41.5% 180 33.8% 120 28.6% 643 36.9% Big_4 1 164 53.2% 281 58.5% 352 66.2% 300 71.4% 1,097 63.1% 31
  • 32. TABLE 3: Descriptive Statistics of Quantitative and Dichotomous Variables Observations by Country Variable Statistics Argentina Brazil Chile Mexico Global 0 234 76.0% 373 77.7% 436 81.9% 319 75.9% 1,362 78.3% Loss 1 74 24.0% 107 22.3% 96 18.1% 101 24.1% 378 21.7% (1) Quantitative Variables: Int_OWN = Internal ownership, measured by the proportion of shares owned by managers and members of Boards (≥ 1%); OWN_Con = Ownership Concentration, measured by the ratio of shares held by the major shareholder of the company (≥ 5%); Fam_OWN = Family Ownership, measured by the proportion of shares held by family members (≥ 5%), as a percentage of capital that is directly or indirectly in his possession; Inst_OWN= Institutional Ownership, measured by the proportion of shares held by institutional investors; Board_SIZE= Size of boards of directors, measured by the total number of members of Boards; Board_IND= independence of the Board, measured by the proportion of independent members (independent directors / total directors); Board_ACT= Activity of Boards, measured by the number of meetings; GOV_Index= The degree of law enforcement of each country analyzed, taken from the research project “Worldwide Governance Indicators” (WGI) proposed by Kaufmann et al., (2010); Log_ASSET= Firm size, measured by the natural logarithm of total assets of the companies; Debt= Level of indebtedness, measured by the quotient resulting from gross debt to total assets, ROA= Economic Return, measured by the ratio of the relationship between the result before special items, interest and taxes of year t and the total net assets at the beginning of year t; GROWTH= Growth of the Companies, calculated in terms of the ratio of the difference in sales and sales of the previous period of firm i in year t. (2) Dichotomous Variables: Boad_IND50= Measured through a dummy variable that takes value of 1 if boards has a majority of independent directors and, 0 otherwise; CEO_Dual= Measured through a dummy variable that considers the value of 1 if there is duality of roles between the chairman and CEO of the companies and, 0 otherwise; Big_4= Measured by a dummy variable that takes the value 1 if the firms are audited by one of the big four firms, 0 otherwise; Loss= Measured through a dummy variable that takes value of 1 if the companies have had losses in the last two years and, 0 otherwise. 4.2. Regression Results After analyzing the variables descriptively, it is necessary to apply tests to help measure the linear relationship between the dependent variable “absolute value of discretionary accruals [Abs (DAC)it]” and the independent and control variables of the firms. The explanatory development is based mainly, on determining the level of influence that CG mechanisms has on discretionary accruals. In order to determine which model is better suited to our data, either the fixed effects based on groups estimator or random effects based on generalized least squares (GLS) we perform the Hausman test (1978), which determines whether the differences are systematic and significant between the two models. In all cases, the result of this test does not reject the null hypothesis of no systematic differences between the regressors’ and unobserved heterogeneity, therefore assuming the random effects as the most appropriate for our analysis. Thus, in Table 4 the model 1 shows the results obtained from the linear regression of the 32
  • 33. panel data, the absolute value of discretionary accruals [Abs (ADD) it] on the variables of ownership structure, board of directors and control. With regard to the internal ownership, is observed that the stake held by managers and directors in Latin American firms have a significant negative relationship at level of 1% with the absolute value of discretionary accruals, suggesting that the low insider’s ownership reduce the EM practices, i.e. reduce the use of discretionary accruals (convergence of interest’s hypothesis). Our result is in line with those results obtained by Machuga & Teitel (2009) with a sample of Mexican firms, who shows that firms with a fewer internal ownership shows a greater earnings quality compared to those firms that do not have managerial ownership, i.e. shows less manipulative practices by managers, because the implementation of good CG practices contained in Codes of Best Practices. In similar terms, other studies such as Morck et al. (1988) in Canada, Wartfield et al. (1995) in the U.S., Yeo et al. (2002) in Singapore and Sanchez-Ballesta & Garcia-Meca (2007) in Spain, also point out that the informativeness of accounting results increases with low levels of internal ownership, while for a high levels, the internal ownership is not sufficient as alignment interest’s mechanism. In relation to the ownership concentration, shows a significant negative relationship at level of 1% with the absolute value of discretionary accruals, suggesting that when the main shareholders have a high percentage of ownership or when a conglomerate directly controls the firm, the absolute value of discretionary accruals is reduced, due to the efficient monitoring hypothesis indicated by the Agency theory (Jensen & Meckling, 1976; Fama, 1980; Fama & Jensen, 1983). Thus, Fernandez et al. (1998), Yeo et al. (2002), Gabrielsen et al. (2002) and De Bos & Donker (2004) results are also consistent with the monitoring role of external block holders, and their strong positive effects on earnings informativeness. Moreover, respect to the board size, this indicates a positive relationship significant at level of 5%, showing our result that the greater board size the level of monitoring over the 33
  • 34. management team decreases due to the existence of problems of communication and coordination that increases the use of discretionary accruals, in line with previous studies as Xie et al. (2003), Thomsen (2008) and Santiago & Brown (2009). Also, respect to the board independence, it shows a weak negative relationship significant at level of 10%. Our result contrasts with the prominent role that literature, theoretical and empirical, assigned to this attribute of the board to safeguard the quality and transparency of results but, for the case of Latin American countries analyzed, does not seem to be so effective. In this regard, Price et al. (2006, 2007), Teitel & Machuga (2008), Chong et al. (2009) and Davila & Watkins (2009) in Mexico; Silveira et al. (2003), Schiehll & Santos (2004) and Ferraz et al. (2011) in Brazil; Majluf et al. (1998), Iglesias (1999), Lefort & Walker (2000, 2005) in Chile; suggests that this is due to boards are mainly composed of major shareholders and managers of the companies, having external directors a very limited participation which facilitates the EM and the managerial discretion. It is probably that this evidence is derived, as stated by Yermack (2004)9, by the presence of grey directors, lack of rotation of the directors or the two causes simultaneously. Regarding the grey directors, they are those that maintain some kind of family or professional relationship (present or past) with the company or its top management, the fact that in the annual reports of CG are designated as external and almost in no way disclose any possible conflicts of interest, could severely limit the board independence. Regards the second, its slow or almost non-existent rotation makes them permanent external, and thus the report of the First Latin American Corporate Governance Survey, conducted by Price Waterhouse Cooper (PWC) in 2010 (published in 2011) indicates that on average only 12,35% of companies listed on Latin American stock markets put time limits for external directors. In short, according to Monterrey & Sanchez (2008), both groups might fall into the category that Eguidazu (1999) calls “the label”, in which independence is an appearance and 34
  • 35. not an attitude, because the absence of sufficient distance from the management of the company could concentrate in fact the power inside the board, thereby facilitating EM (Garcia Osma & Gill de Albornoz, 2005). In addition, the model 1 shows that board activity results to have a negative relationship significant at level of 5% showing that the greater number of meetings held by the boards decreases the use of discretionary accruals, i.e., the higher board activity reduces the EM. We do not find any statistically significant relationship between family ownership (Fam_OWN), institutional ownership (Inst_OWN), CEO duality (CEO_Dual) and the absolute value of discretional accruals. On the other hand, there is a significant negative relationship at level of 1% between Government Index (GOV_Index) and discretionary accruals, suggesting that when a country implements controls aimed to reduce the corruption, to strengthen the rule of law or to improve the effectiveness of government seems to influence on EM negatively, i.e., it shows an increase on the quality and transparency of the financial information issued by companies, showing a reduction of discretionary accruals (La Porta et al., 1998, 2002, 2006; Leuz et al., 2003; Bushman et al., 2004; Ball & Shivakumar, 2005). Finally, in the remaining control variables it can be seen that they maintain their level of significance and expected sign: A significant negative relationship at level of 5% between firm size and discretionary accruals, because the largest companies are subjected to a greater monitoring than smaller firms (Garcia & Gill, 2005; Cahan & Zhang, 2006; Goodwin & Kent, 2006; Prior et al., 2008); a significant positive relationship at level of 1% between discretionary accruals and level of debt, due to the companies with more leverage used manipulative practices to exhibit a greater capacity to generate resources (Krishnan et al., 1996; Frankel et al., 2002; Balsam et al., 2003); a significant positive relationship at level of 1% between economic profitability and discretionary accruals, suggesting that managers are 35
  • 36. motivated to manipulate the results obtained with the intention to make the company more attractive (Kothari et al., 2005; Machuga & Teitel, 2007); a significant positive relationship at level of 1% between growth and discretionary accruals, indicating that companies that observed a high growth are more likely to use a discretionary accruals adjustments (McNichols, 2000), because they experiment better opportunities to attract investment (Young, 1999). Additionally, in column 11 of Table 4 we use a different proxy for board independence, replacing the proportion of external directors on boards (Board_IND) by a dummy variable that takes the value of 1 if board has a majority of external directors, and 0 otherwise (Board_IND50). The conclusions are the same than model 1, i.e., the board independence also shows a weak negative relationship significant at level of 10% with the dependent variable [Abs (ADD) it]. 36
  • 37. TABLE 4: Discretionary Accrual Regressions on Corporate Governance and Control Variables Random Effects Estimation (GLS) Model 1: Abs(ADD)it= β0 + β1(Int_OW ) + β2(OW _Con) + β3(Fam_OW ) + β4(Inst_OW ) + β5(Board_SIZE) + β6(Board_I D) + β7(Board_ACT) + β8(CEO_Dual) + β9(Big_4) + β10(Log_ASSET) + β11(Debt) + β12(ROA) + β13(GROWTH) + β14(Loss) + β15(GOV_Index) +ηi +λt +υit Expected Model 1 Model 2 Variable Sign (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) -0.433** -0.481*** -0.491*** Int_OWN ¿? (-1.84) (-2.01) (-2.05) -2.340** -2.174*** -2.354*** OWN_Con ¿? (-1.56) (-1.36) (-1.52) -0.089 -0.055 -0.079 Fam_OWN ¿? (-0.91) (-0.55) (-0.80) -0.073 -0.080 -0.083 Inst_OWN ¿? (-0.92) (-1.00) (-1.04) 0.032* 0.053** 0.035** Board_SIZE ¿? (0.73) (1.19) (0.80) -3.201* -3.513* Board_IND - (-1.67) (-1.79) -0.024* -0.027* Board_IND50 - (-1.10) (-1.22) -0.097* -0.127** -0.114* Board_ACT - (-1.61) (-2.07) (-1.87) 0.009 0.005 0.007 CEO_Dual + (0.41) (0.21) (0.29) -0.167*** -0.169*** -0.174*** -0.173*** -0.173*** -0.171*** -0.178*** -0.173*** -0.174*** -0.156*** -0.163*** GOV_Index - (-3.51) (-3.54) (-3.66) (-3.65) (-3.65) (-3.60) (-3.73) (-3.65) (-3.67) (-3.27) (-3.41) -0.027 -0.027 -0.028 -0.028 -0.027 -0.026 -0.027 -0.029 -0.027 -0.029 -0.029 Big_4 - (-1.18) (-1.20) (-1.23) (-1.23) (-1.19) (-1.15) (-1.17) (-1.27) (-1.17) (-1.26) (-1.28) -0.030** -0.032** -0.030** -0.028** -0.028** -0.022** -0.031** -0.033** -0.029** -0.024** -0.035** Log_ASSET - (-1.75) (-1.87) (-1.80) (-1.65) (-1.66) (-1.24) (-1.82) (-1.93) (-1.75) (-1.37) (-2.05) 0.314*** 0.315*** 0.314*** 0.314*** 0.316*** 0.317*** 0.315*** 0.315*** 0.315*** 0.316*** 0.314*** Debt + (2.37) (2.38) (2.37) (2.37) (2.38) (2.39) (2.38) (2.38) (2.38) (2.37) (2.36) 0.045*** 0.045*** 0.047*** 0.044*** 0.046*** 0.043** 0.047*** 0.047*** 0.046*** 0.043*** 0.047*** ROA + (2.58) (2.62) (2.71) (2.54) (2.65) (2.49) (2.72) (2.71) (2.65) (2.45) (2.70) 37
  • 38. TABLE 4: Discretionary Accrual Regressions on Corporate Governance and Control Variables Random Effects Estimation (GLS) Model 1: Abs(ADD)it= β0 + β1(Int_OW ) + β2(OW _Con) + β3(Fam_OW ) + β4(Inst_OW ) + β5(Board_SIZE) + β6(Board_I D) + β7(Board_ACT) + β8(CEO_Dual) + β9(Big_4) + β10(Log_ASSET) + β11(Debt) + β12(ROA) + β13(GROWTH) + β14(Loss) + β15(GOV_Index) +ηi +λt +υit Expected Model 1 Model 2 Variable Sign (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) 0.031*** 0.031*** 0.031*** 0.031*** 0.031*** 0.031*** 0.031*** 0.030*** 0.031*** 0.029*** 0.029*** GROWTH + (3.49) (3.48) (3.48) (3.52) (3.49) (3.50) (3.50) (3.43) (3.50) (3.27) (3.28) 0.001 0.003 0.005 0.005 0.005 0.005 0.005 0.008 0.004 0.006 0.006 Loss + (0.04) (0.10) (0.19) (0.19) (0.18) (0.18) (0.19) (0.29) (0.13) (0.22) (0.20) Significance 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 Adjusted R2 0.2729 0.2726 0.2719 0.2719 0.2717 0.2727 0.2720 0.2726 0.2716 0.2777 0.2770 Number of Observations 1.740 1.740 1.740 1.740 1.740 1.740 1.740 1.740 1.740 1.740 1.740 (***) Significant at level 1%; (**) Significant at level 5%; (*) Significant at level 10%. Note 1. The model includes industry sectors and time controls, but they are not reported. Note 2. Z statistics in parentheses. Quantitative Variables: Int_OWN = Internal ownership, measured by the proportion of shares owned by managers and members of Boards (≥ 1%); OWN_Con = Ownership Concentration, measured by the ratio of shares held by the major shareholder of the company (≥ 5%); Fam_OWN = Family Ownership, measured by the proportion of shares held by family members (≥ 5%), as a percentage of capital that is directly or indirectly in his possession; Inst_OWN= Institutional Ownership, measured by the proportion of shares held by institutional investors; Board_SIZE= Size of boards of directors, measured by the total number of members of Boards; Board_IND= independence of the Board, measured by the proportion of independent members (independent directors / total directors); Board_ACT= Activity of Boards, measured by the number of meetings; Log_ASSET= Firm size, measured by the natural logarithm of total assets of the companies; Debt= Level of indebtedness, measured by the quotient resulting from gross debt to total assets, ROA= Economic Return, measured by the ratio of the relationship between the result before special items, interest and taxes of year t and the total net assets at the beginning of year t; GROWTH= Growth of the Companies, calculated in terms of the ratio of the difference in sales and sales of the previous period of firm i in year t; GOV_Index= The degree of law enforcement of each country analyzed, taken from the research project “Worldwide Governance Indicators” (WGI) proposed by Kaufmann et al., (2010). Dichotomous Variables: Boad_IND50= Measured through a dummy variable that takes value of 1 if boards has a majority of independent directors and, 0 otherwise; CEO_Dual= Measured through a dummy variable that considers the value of 1 if there is duality of roles between the chairman and CEO of the companies and, 0 otherwise; Big_4= Measured by a dummy variable that takes the value 1 if the firms are audited by one of the big four firms, 0 otherwise; Loss= Measured through a dummy variable that takes value of 1 if the companies have had losses in the last two years and, 0 otherwise. 38
  • 39. 4.3. Analysis Extension on-Linear Relationships In this section we extend the previous analyzes to test the possible nonlinear relationships between CG mechanisms and EM. TABLE 5: Non-Linear Relationship in Internal Ownership, Ownership Concentration and Board Activity Model 2: Abs (ADD)it= β0 + β1(Int_OW ) + β2(Int_OW 2) + β3(OW _Con) + β4(OW _Con2) + β5(Fam_OW ) + β6(Inst_OW ) + β7(Board_SIZE) + β8(Board_I D) + β9(Board_ACT)+ β10(Board_ACT2) + β11(CEO_Dual) + β12((Big_4) + β13(Log_ASSET) + β14(Debt) + β15(ROA) + β16(GROWTH) + β17(Loss) + β18(GOV_Index) +ηi +λt +υit Variables (1) (2) (3) Model 2 -0.978*** -0.456** -0.486** -0.873*** Int_OWN (-1.06) (-1.90) (-2.03) (0.94) 2.888** 2.401** Int_OWN2 (0.55) (0.46) -2.150** -2.101*** -2.099** -2.126*** OWN_Con (-1.35) (-1.17) (-1.32) (-1.47) 1.749** 1.540** OWN_Con2 (1.46) (1.54) -0.057 -0.063 -0.056 -0.068 Fam_OWN (-0.58) (-0.64) (-0.56) (-0.68) -0.079 -0.076 -0.078 -0.074 Inst_OWN (-0.99) (-0.95) (-0.98) (-0.92) 0.053* 0.051* 0.047* 0.044* Board_SIZE (1.20) (1.15) (1.06) (0.99) -3.556* -3.190* -3.534* -3.231* Board_IND (-1.81) (-1.62) (-1.80) (-1.64) -0.124* -0.134* -0.191* -0.134* Board_ACT (-2.03) (-2.18) (-0.94) (-0.55) 0.094 0.231 Board_ACT2 (0.39) (1.13) 0.004 0.005 0.006 0.007 CEO_Dual (0.20) (0.23) (0.27) (0.31) -0.156*** -0.160*** -0.154*** -0.159*** GOV_Index (-3.28) (-3.35) (-3.23) (-3.32) -0.027 -0.027 -0.029 -0.027 Big_4 (-1.20) (-1.21) (-1.27) (-1.17) -0.025** -0.026** -0.024** -0.028** Log_ASSET (-1.38) (-1.47) (-1.37) (-1.49) 0.317*** 0.316*** 0.316*** 0.315*** Debt (2.37) (2.37) (-2.36) (2.34) 0.043** 0.044*** 0.044** 0.046*** ROA (2.47) (2.52) (2.49) (2.60) 0.029*** 0.029*** 0.028*** 0.028*** GROWTH (3.26) (3.25) (3.23) (3.21) 0.006 0.008 0.008 0.009 Loss (0.21) (0.28) (0.27) (0.33) 39