1) The thesis aims to describe the importance of financial indicator forecasts for expert witness services. 2) It comprises five chapters that discuss the current situation, objectives and methodology of forecasting, and apply forecasting processes to practical data from a company to predict profits for the next five years. 3) The main focus is to justify the need for forecasts in expert witness work and to evaluate the outputs and strengths/weaknesses of simple regression and ARIMA models used to create the forecasts.

1. ABSTRACT
DEMČÁK, Michal: Forecasting of Financial Indicators for the Needs of Expert Witness Service
– University of Economics in Bratislava. Faculty of Business Management; Department of
Corporate Finance. Thesis Consultant: doc. Ing. Peter Markovič, PhD. Bratislava FPM, 2012,
number of pages 65.
The aim of the diploma´s thesis is to describe the importance of financial indicators forecast
for the need of expert witness .The study comprises five chapters. First chapter describes
current situation through empirical research and theoretical part, which deals with the
essential methodology, principles and elements of forecasting. The second and third chapter
deal with the objectives and methodology through which we could reach them. The fourth
chapter focuses processes practical data in a company Obuv Ltd., assessing data collected
from the last twenty periods to forecast profit or loss after taxation for the following five
years. The fifth chapter expresses personal opinion on advantages of forecasting methods
and forecasting, particularly implementation and use in witness services and operations.
The main focus is to justify the need of forecast for professional practice of an expert
witness, the ability to collect and with proper transformation modify necessary data to
create a forecast using simple regression and ARIMA models. Outputs and single methods,
by which forecasts were made, were summarized and evaluated at the end of the study.
Through assessment of a forecast we have pointed out existing weaknesses and strength of
single methods by which we made discussion about possibilities of using them, but also
pitfalls of their application.
Sources used to compile the thesis were the available specialized literature and
internal documentation provided by the company.
Key words: forecast, regression, ARIMA, extrapolation, correlation, expert witness