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How to construct a portfolio using
simplified modern portfolio theory

               Travis Morien
     Compass Financial Planners Pty Ltd
         travis@travismorien.com
       http://www.travismorien.com
Before viewing this presentation:
  The presentation you are about to view on building
 portfolios is the “sequel” to a slideshow on selecting
managed funds. Some concepts are carried forward from
    that presentation and are assumed knowledge.

 If you haven’t already done so, download the original
                   presentation from
      http://www.travismorien.com/investment.ppt
Part One


The asset classes
Basic principles
• There are many asset classes out there and many
  of them are useful to investors.
• Some asset classes are noted for their long term
  stability (low risk), others for their high returns.
• Generally speaking, the higher the reward you
  are after, the more risk you’ll need to take.
• Portfolios can be constructed out of multiple
  asset classes that exhibit superior risk and return
  relationships to any single asset, because
  diversification can significantly reduce risk.
Why risk and return are linked..
 Investment A is the                                         A
 obvious choice…                 A       … but add
                                         risk, is the
                                         choice still
                                         obvious?
                                                             B
                                 B

                       B would die
                       out through
                       lack of takers!



When two investments appear to offer identical risk, investors
will prefer to buy the higher returning one. If the market is
peopled by reasonably well informed investors, there simply
won’t be any high returning low risk investments left and nobody
will buy high risk assets with a low expected return.
Risk and return continued
• In a portfolio construction context “risk” is usually
  measured with some sort of measure of price volatility.
• There are other risks of course that need to be taken into
  account.
• Inflation risk is a major problem with the more
  “conservative” asset classes such as fixed interest and
  cash. Many pensioners find to their horror that they can
  no longer live off their savings, despite the
  conservatism of their strategy, simply because their
  returns weren’t high enough to maintain the portfolio’s
  real value after inflation, costs and withdrawals.
• It is necessary for all but the most short term oriented
  investors to consider at least some exposure to growth
  assets like shares and property, just to fight inflation.
Major asset classes: shares
• Shares are part interests in businesses. How good a return you get
  on your share depends to a large extent on the fundamental
  business developments of the company itself and on the price you
  paid for the share.
• Averaged out over many companies, shares as an asset class tend
  to respond to interest rates and the economy.
• Although in the last few years many markets have fallen
  substantially, shares are still the highest performing asset class
  over the long term and by far the most tax efficient.
• Shares generally go up in price over the long term because
  businesses don’t pay out 100% of their profits as dividends, they
  keep some to grow the value of the business itself.
• Over the long term, shares have beaten inflation by about 6%pa.
Major asset classes: property
• There are many types of property to invest in, each are
  different.
• The highest income yield comes generally from commercial
  and industrial property, which often pay the owner as much
  as 10%pa in rent alone.
• Residential property is an asset class that has really been
  booming over the last few years, but rental yields are now
  alarmingly bad by historical standards meaning that
  investors are highly reliant on capital growth.
• Over the longer term you can expect property to grow in
  capital value at about the same rate as inflation (because the
  salaries with which we have to pay the mortgages only grow
  with inflation – there eventually comes a limit when growth
  above inflation just can’t be sustained), though local supply
  and demand issues mean actual returns could be higher or
  lower over a particular period of time.
Major asset classes: fixed interest
• A “fixed interest” investment is a debt that can be bought and
  sold.
• The borrowers are usually governments and companies. A typical
  fixed interest investment pays a regular “coupon” (interest
  payment) and will repay the principle on maturity.
• Some fixed interest securities have a maturity of several decades,
  others are shorter term.
• The actual price of a fixed interest investment will fluctuate in
  response to many things, most particularly interest rates. If
  general interest rates fall, the price of a long term fixed interest
  security will usually rise such that the “yield to maturity” is
  similar to those of other investments with a similar risk. On the
  other hand, if interest rates rise, fixed interest investments fall.
• A typical fixed interest portfolio is yielding less than 5% right
  now, though falling interest rates over the last decade have helped
  bonds to deliver very strong performance which included a
  growth component.
Major asset classes: cash
• “Cash” may mean currency, but in an investment
  context cash is just a really short term highly liquid
  fixed interest investment.
• Longer term fixed interest investments are usually called
  “bonds”, shorter term fixed interest investments may be
  called “notes” and really short term ones are often called
  “bills”.
• Cash management trusts usually invest in a portfolio of
  high quality short term fixed interest investments.
  Because of the short maturity, these fixed interest
  investments aren’t as sensitive to interest rate changes
  and thus don’t have a great deal of capital volatility.
• Many cash investments are returning about 4% at the
  moment.
Other asset classes
• Shares, property, bonds and cash are the major asset
  classes, but there are many others to choose from.
• Hedge funds are sometimes called a distinct asset class as
  they pursue unconventional strategies that give them
  performance very different to the asset classes that they
  invest in.
• “Private equity” is basically a shares investment, but in
  companies not listed on a stock exchange.
• Agribusinesses are agricultural investments in things like
  tree farms and vineyards.
• Some people also consider commodities like gold to be an
  asset class of its own, and many people consider
  collectibles, race horses and fine wines to be useful
  alternative investment asset classes.
The point of portfolio construction
• A portfolio is often more than the sum of its parts.
  Because not all asset classes perform the same way over
  the short term, a portfolio of many asset classes usually
  offers a superior overall relationship between risk and
  return to any single asset.
• A portfolio consisting only of shares would have done
  badly in the last few years since the US market crashed,
  but property and bonds have performed very well. This
  is quite typical, more “defensive” asset classes often do
  well when equities are falling.
• A diversified portfolio has a reasonable long term
  growth rate because over time all asset classes offer a
  positive return, but being invested across different asset
  classes smooths out returns and offers a more
  predictable growth rate.
The last twenty years have seen very good returns
                 for all major asset classes, well in excess of inflation,
                       but the risk and return are highly variable.
                                       GROWTH - CUMULATIVE RETURNS
                 1500



                                                                                            S&P/ASX500
                                                                                            Index A$



                                                                                            MSCI World
                                                                                            Index A$
Percent Return




                 1000


                                                                                            ASX 300 Prop
                                                                                             Index A$



                                                                                             UBS Comp
                                                                                             Bond A$
                  500


                                                                                            UBS 90 Day
                                                                                            Bank Bill A$



                                                                                             Aust CPI
                                                                                            Index A$
                    0
                    12/84   5/87   10/89     3/92     8/94     1/97   6/99   11/01   4/04

                                       Time Periods: 1/85 to 3/04
Part Two


Creating diversified portfolios
How diversification reduces risk
  There are two mechanisms by which diversification
  reduces risk: dilution and interference.
• Dilution is easy enough to understand, if you swap half
  your shares for cash then you lose half your equity
  exposure and therefore half your equity risk. If the
  market crashed tomorrow you’d only lose half as much.
• “Interference” (a term I pinched from physics where it is
  used to describe the way waves interact), is where
  negative movements in some assets are partly cancelled
  by positive ones in other assets. A good example is with
  property vs. shares, in the recent bear market in shares
  property did very well while shares tanked, the opposite
  may be true in the next few years.
Interference and correlation
“Correlation” is the word given to the extent to which assets move together, this is
measured with statistical formulae. Correlations can range from -1 (perfectly
negatively correlated) through to +1 (perfectly positively correlated).
If asset B tends to move in the opposite direction to asset A then these two assets are
said to have “negative correlation”, and they can be highly effective at cancelling out
each other’s volatility. If the assets both trend upwards over the longer term a
combination of them will have a return equal to the average of the two assets’ returns
but with substantially reduced volatility.




                                             Negatively correlated assets cancel the greatest
                                                   amount of each other’s volatility.
Negative correlation isn’t essential
• Assets don’t need to be negatively correlated to have some
  volatility smoothing.
• As long as the correlation is less than +1 the assets will be at
  least a little bit different and at least some volatility will be
  cancelled.
• Most real world assets are positively correlated because most
  prices are related somehow to important “macro” factors like
  global economic growth, interest rates, oil prices etc.
• Even if negative correlations are rare, substantial volatility
  reduction is possible by using assets with a low positive
  correlation.
• For example, the annual correlation of Australian listed
  property with Australian shares from 1982 to 2003 has been
  about 0.68, but the correlation of property with international
  shares was about 0.30, the correlation of Australian shares with
  international shares was about 0.64, so a mixed portfolio would
  be quite effectively diversified.
The “efficient frontier” is the name given to the line that joins all
portfolios that have achieved a maximum return for a given level of risk
(portfolios that are “efficient”). If you programmed a computer to chart
every possible portfolio that could be constructed out of a group of assets
and plotted a point on a risk vs. return chart, the resulting plot usually
looks much like the chart below. The top of the curve is the efficient
frontier, anything below that curve is an “inefficient” portfolio, anything
actually on the curve, or close to it, is an “efficient” portfolio.
  Return      Efficient portfolios on or near the efficient frontier




                                                                       Risk
                 Inefficient portfolios below efficient frontier
Efficient vs. inefficient portfolios
• It is impossible to predict in advance which
  portfolios will be the most efficient as this
  would require knowing in advance asset
  class performance and correlations.
• A portfolio that has been diversified into a
  variety of asset classes should be close to
  efficient over the longer term, provided it is
  rebalanced regularly.
Rebalancing
• Rebalancing a portfolio is the process of adjusting a
  portfolio to bring it back to its original asset
  allocation.
• Since assets perform differently at different times,
  the portfolio is likely to drift from your desired asset
  allocation.
• Failure to rebalance means that a portfolio can
  change risk profile over time and may no longer be
  appropriate.
A simple rule of portfolio construction
• If you have two assets with roughly equal
  expected returns, putting 50% into each is a way
  to hedge one’s bets (and spread the risk) without
  compromising expected return. The lower the
  correlation of those assets, the more the risk will
  be reduced while not reducing expected returns
  at all.
• Actually, this holds true with a greater number of
  investments as well. For example, if you have
  five equally attractive assets you could invest one
  fifth in each.
Since 1982 Australian shares (ASX500 index), international
shares (MSCI world index) and property securities (ASX300
 listed property index) have had roughly the same return…
                                               GROWTH OF DOLLAR
                  30




                  25                                                                          S&P/ASX500
                                                                                              Index A$
Value of Dollar




                  20




                  15                                                                          MSCI World
                                                                                              Index A$



                  10




                   5
                                                                                              ASX 300 Prop
                                                                                               Index A$


                   0
                   12/81   9/84   6/87         3/90    12/92     9/95   6/98   3/01   12/03

                                         Time Periods: 1/82 to 12/03
So using our simple rule of thumb that if the three assets have similar
 returns we’ll use a third in each, we get the following portfolio which
   has outperformed all three with much less volatility! (Rebalanced
                                 monthly)
                                              GROWTH OF DOLLAR
                  30



                                                                                             S&P/ASX500
                  25                                                                         Index A$
Value of Dollar




                  20

                                                                                             MSCI World
                                                                                             Index A$

                  15




                                                                                             ASX 300 Prop
                  10                                                                          Index A$




                  5

                                                                                             One third in
                                                                                               each

                  0
                  12/81   9/84   6/87         3/90    12/92     9/95   6/98   3/01   12/03

                                        Time Periods: 1/82 to 12/03
Diversifiable vs. undiversifiable risk
• There is such a thing as “diversifiable” risk, as you add
  extra assets to the portfolio the volatility tends to decrease –
  but only up to a point. When a portfolio reaches a certain
  level of diversification the only way to reduce risk is to add
  lower risk assets which will reduce volatility by dilution,
  this usually reduces the return.
• Risk which cannot be diversified away is “undiversifiable”
  or “systemic” risk. Holding every stock in the market (i.e.
  with an index fund) smooths out the maximum amount of
  diversifiable risk for shares, but you are still left with the
  risk of the market itself, that risk cannot be reduced unless
  you spread your portfolio across more asset classes.
• According to financial theory, investors only get rewarded
  for taking on systemic risk. Having an under-diversified
  portfolio results in greater risk but no extra expected return.
  This is one definition of “speculation”. (There are others.)
Diversification can also increase returns
A higher return may often be obtained from rebalancing the
portfolio as a result of “reversion to the mean”.
If you believe that at some point in the future two assets will
give the same cumulative return then it would make sense to
invest in the asset class with the worst recent performance and
sell the one with the best performance!
Rebalancing does precisely this, although it is normally seen
only as a risk management technique.
This is why the diversified portfolio did a little better than all
three component asset classes. A small “rebalancing
premium” is quite common because last year’s worst
performing asset class often outperforms last year’s best
performing asset class this year.
Improving the efficient frontier
• Investors desire higher returns with lower risk.
  There is however a limit to what can be achieved
  with a particular set of assets, that limit is drawn
  on charts as the efficient frontier.
• By adding more assets we can change the shape
  of the efficient frontier. Assets carry two items
  of interest to us, their returns and their
  correlation with the rest of the portfolio.
Refining our asset allocation
• There is wide acceptance that so-called “value”
  stocks outperform “growth” stocks, and “small
  companies” tend to outperform “large
  companies”, at least over the longer term.
• Their higher long term performance is very
  interesting, but so too is the fact that they often
  have a low correlation to large growth
  companies, the dominant stocks in the market.
• They provide what asset allocation buffs call an
  “independent source of risk and return.” This
  may enable us to improve the efficient frontier.
Fama and French’s “Three factor” model

Your returns mostly come
 down to asset allocation:
• The mix of stocks vs. bonds
• The average company size
• The value characteristics of
  the stocks - how “cheap”
  stocks are compared to book
  value.


Picture credit: Dimensional Fund Advisors
Over the long term value stocks and small companies have
 outperformed large companies. These are the returns of global
 value, large company and small company indexes calculated by
Dimensional Fund Advisors from January 1975 – December 2003:
                                                   GROWTH OF DOLLAR (LOG PLOT)
                       1000


                                                             Global value 19.70%pa
                              Global small caps 20.29%pa                                                            Global V
                                                                                                                     Gross A
     Value of Dollar




                       100




                                                                                                                    Global L
                                                                                                                     Gross A



                         10
                                                                        Global large companies 14.98%pa


                                                                                                                    Global S
                                                                                                                    Gross A


                          1
                          12/74    7/78     2/82      9/85       4/89      11/92     6/96    1/00     8/03   3/07

                                                   Time Periods: 1/75 to 12/03
Adding value and small caps to a large cap growth equity portfolio
                    gives a better return than a large cap only portfolio, but the volatility
                    is actually lower, not higher. A mixed portfolio is more “efficient”.
                                                GROWTH OF DOLLAR (LOG PLOT)
                                                                                                                                       Large     Large +
                  100                                                                                                                  cap       value +
                                                                                                                                                 small
                            20% Australian large
                                                                                                        Annualised Return %pa          14.00%    16.33%
                            20% Australian value
                            10% Australian small                                                        Total Cumulative Return
                                                                                                         Large                         2433%     4072%
                                                                                                         Portfolio
                            20% global large                                                            Monthly Standard Deviation     4.19%     3.93%
                            20% global value                                                            Monthly Average Return         1.19%     1.35%
                            10% global small                                                            Annualised Standard            14.53%    13.62%
Value of Dollar




                                                                                                        Deviation*
                  10


                                                                                                       Data from Dimensional Fund Advisors DFA
                                                                                                       Returnw program, gross return of indexes
                                                                  50% Australian large                 tracked by DFA equity trusts. See
                                                                                                       http://www.dimensional.com.au
                                                                  50% global large
                                                                                                          Tilted
                                                                                                       *Annualised standard deviation is presented as
                                                                                                         Portfolio
                                                                                                       an approximation by multiplying the monthly or
                                                                                                       quarterly standard deviation by the square root
                                                                                                       of the number of periods in a year. Please note
                    1
                    12/79       1/83     2/86        3/89      4/92      5/95   6/98     7/01   8/04   that the standard deviation computed from
                                                                                                       annual data may differ materially from this
                                                Time Periods: 1/80 to 8/04                             estimate.
Total stock market vs. “slice and dice”
• The stock market is dominated by what would be
  classified as “large growth companies”, also known as
  “blue chips”. As a portion of market capitalisation, the
  very largest companies dominate the market and so an
  exposure in market weightings tends to have a very
  small amount of small company and value exposure.
• Many asset allocators believe a portfolio should have
  more small company and value exposure than the
  market gives. Although small companies might only
  make up 5% of the market by capitalisation, they make
  up the vast majority of listed companies by number.
  Despite the tiny market weighting, asset allocators often
  allocate a larger amount of 10 to 20% to small caps and
  similarly overweight value companies.
Computer backtest optimisation
• A common tool used is called a “mean-variance
  optimiser” or MVO, a computer program that backtests
  portfolios to find the ones that lie on the efficient
  frontier. It looks at historical correlations, mean returns
  and volatility.
• The idea isn’t as good in practice as it sounds in theory
  because past performance is no guarantee of future
  results. The program usually only does what inept
  investors have always done – chase past performance,
  wags have dubbed MVO’s “error maximisers”.
• A non-technical approach goes back to the basics – try to
  build your portfolio from many “independent sources of
  risk and return”. This simply means you should
  diversify into many different asset classes.
So how do you go about
            constructing a portfolio?
• The usefulness of historical correlations and returns is
  usually overstated, but can form a crude guide as long as we
  don’t take them too seriously.
• Don’t get too hung up on quantitative data, but try to find
  assets that are very different (e.g. property vs. shares.)
• Our first example of a diversified portfolio had a one third
  allocation to Australian shares, one third to international
  shares and one third to property. Since over the longer term
  these asset classes deliver approximately the same returns
  but operate on somewhat different cycles, that isn’t a bad
  allocation to start with for a high growth portfolio.
Decisions, decisions…
• Active funds or passive/index funds?
• How much to growth assets, how much to income
  assets?
• Balance of value stocks to growth stocks?
• How much large cap shares, how much small caps?
• How much money to put in developed markets vs.
  emerging markets?
• Currency hedged or unhedged international shares?
• Listed or unlisted property?
• Short or long maturity fixed interest?
• Within the one third allocated to Australian shares in our
  simple starting portfolio, we can allocate money between
  large cap growth, small cap growth, large cap value and
  small cap value. We can also allocate along the lines of
  industrials vs. resource stocks.
• Within the one third allocated to international shares we
  have the same asset classes above, but we can also allocate
  to developed markets or emerging markets.
• One might even consider allocating some of the shares
  investments to private equity (unlisted shares), which may
  often provide a very high return yet at substantial risk. A
  small allocation to a risky asset with low correlation to other
  asset classes can actually reduce the volatility of the overall
  portfolio.
• Long/short managed funds can also be useful as they
  usually have a very low correlation with the indexes.
Risky assets vs. risky portfolios.
• It is important to think about risk in a portfolio context, not
  an asset context. Portfolio building should be seen more
  like cooking – we are more concerned with the final product
  than the taste of each ingredient. Pepper tastes great on a
  steak, but makes a lousy meal by itself.
• Small percentage allocations to riskier assets like emerging
  markets, private equity, commodities, hedge funds and
  agribusiness can actually reduce the risk of the overall
  portfolio because they don’t operate on the same cycles as
  major asset classes. Small allocations to such assets can
  have a great impact on the efficient frontier.
Are risky assets like emerging markets
too risky for conservative portfolios?
• Emerging markets are by
  themselves a very risky asset
  class, their monthly volatility is                          Addition of emerging markets to a
                                                                  global large cap portfolio
  about 50% higher than global
  large companies (DFA indexes).                             12
  On the other hand, their




                                         Annualised return
                                                             11
  correlation with the global large                          10
                                                                                     20.0%
                                                                                                         25.0%

  caps indexes is quite low.                                                  15.0%
                                                                          10.0%
                                                              9
• Despite the high volatility of                                              7.5%
                                                                                  5.0%
                                                                                               2.5%
  emerging markets, their low                                 8                                       0.0%

  correlation with global large cap                           7

  equities means a small percentage                           6

  allocation of emerging markets to                           5
  a global portfolio can actually                              4.24    4.26   4.28       4.3      4.32   4.34

  reduce the volatility of a portfolio                                  Monthly std deviation
  while potentially increasing                                January 1988 to January 2004, DFA Emerging
  returns.                                                   Markets index plus Global Large Company index.
A little volatility can go a long way
• In a sense, the high volatility of the riskier asset classes
  is one of their most valuable attributes for a portfolio.
• The high volatility of asset classes like emerging
  markets and commodities means they punch well above
  their weight in contributing risk and return to the
  portfolio.
• A 5% allocation to a risky asset class with low
  correlation to “mainstream” asset classes might
  contribute as much diversification as a 20% allocation to
  a less volatile asset class, so only a small amount needs
  to be invested to improve portfolio diversification.
Review of the return vs. volatility of major asset classes from
               January 1988 to January 2004.
                     20

                     18

                     16                                                                      Aus value       Emerg Mkts

                     14
Anualised return %




                     12                                         Listed property         Global Value
                                     Global bonds
                                                                                      Aus large
                     10                    Aus bonds
                                                                                        Global Small
                     8        Cash                                                       Global Lge
                                         Unlisted property
                                                                         Aus small
                     6                         trusts

                     4

                     2

                     0
                          0          1           2               3                4             5        6            7
                                                             Monthly std deviation %
• Obviously some asset classes have been more efficient
  than others over this time frame, but which asset classes
  will be best over the next 10 years is another matter
  entirely.
• Australian value stocks for example continued to
  provide strong gains over the last few years as the rest of
  the stock market, especially international stocks, did
  poorly. In 2003, Australian small caps rose 40% (nearly
  twice what large companies returned) despite
  underperforming over the previous decade.
• There really is no way to forecast which assets are going
  to outperform, although that doesn’t stop people from
  trying!
Adding conservative assets
• So far we’ve only shown what happens when growth
  assets of the various flavours of shares and property are
  added together.
• Although we can substantially improve on large cap
  growth share portfolios in terms of risk and return there
  are limits to how conservative a portfolio of growth
  assets can be, to push the efficient frontier more toward
  lower risks the income asset classes (bonds, cash,
  mortgages) will need to be added.
• We have to accept that over the longer term this will
  probably cost the investor money due to a lower
  expected return, but the risk reduction potential is
  tremendous and this may be more suitable for
  conservative investors.
Half the risk doesn’t mean half the return!
• Risk to reward ratios get more favourable for
  conservative portfolios.
• Putting half a share portfolio into cash will basically
  halve the risk, but since cash doesn’t return 0% you
  won’t halve the return.
• If you gear a portfolio though you do double your risk
  (if you use 50% leverage), but because you have to pay
  interest on the loan you won’t double your return.
• Conservative portfolios therefore can greatly reduce risk
  without necessarily having the same amount of
  reduction in the return. This can be seen on the efficient
  frontier, which is usually curved instead of straight.
A property of efficient frontiers is that the left side of the chart is
           usually a lot steeper than the right side. Addition of even a small
          amount of cash to a share portfolio (here we have used the ASX500
          All Ordinaries share index from January 1980 to January 2004) can
          significantly reduce volatility with very little impact on returns and
             the addition of a small amount of shares to a cash portfolio can
            significantly increase returns without increasing volatility much.
                                           Percentage cash in an Australian shares portfolio
Annualised return %




                      13
                                                                            30% 20% 10% 0%
                      12                                            50% 40%
                                                              60%
                               All cash                 70%                                All shares
                      11                          80%
                                            90%
                                          100%
                      10

                       9
                           0                 1           2           3         4          5             6
                                                        Monthly std deviation %
Part Three


Risk profiling and portfolio design
So why not always use a medium risk portfolio?
• If diversification makes it relatively easy to substantially
  reduce risk for only a small cost in return, why not do it all
  the time?
• The answer lies in compounding interest. Over a long
  period a small increase in returns makes a big difference to
  the final portfolio value.
• The difference between a portfolio that returns 8% over 20
  years and a portfolio that returns 10% over 20 years is very
  substantial. Ten thousand dollars invested at 8% for 20
  years will grow to $46,610, one thousand invested at 10%
  for 20 years will grow to $67,275 - a very significant
  difference! If you are young then your time frame on
  retirement assets is likely to be 30 years or more.
• Growth assets are also generally more tax efficient and
  therefore the gap between aggressive and conservative
  portfolios widens after tax.
Over a short period of time there is very little difference so it may not be
  worth taking a risk, but if you do have a long term horizon then serious
thought should be put into ways to get an extra percentage point or two out
   of the portfolio. An extra point of risk is often hard to notice without a
  computer, but an extra point of return makes a very big difference in the
long term! Risk is important but being overly conservative can be a costly
                         mistake over the long term.

 $200,000
 $180,000
 $160,000
 $140,000
 $120,000
 $100,000
  $80,000
  $60,000
  $40,000
  $20,000
       $0
               1   3   5   7   9   11 13 15 17 19 21 23 25 27 29

                                       8%         10%
Choosing a level of risk vs. return
• “Risk profiling” is a tricky business that
  depends on the time horizon, risk tolerance
  and return requirements of an investor.
• As a financial planner I spend a lot of time
  working on this with clients, but it is a
  complex area and it is outside the scope of
  this presentation.
• Some model portfolios with different levels
  of risk and their risk/return profiles are
  shown on the next few slides.
Three dimensional approach to risk profiling
Most advisors discuss risk tolerance in terms of
potential volatility only, often using short multi-
choice questionnaires. In my opinion, this is
inadequate and doesn’t really address the client’s
needs. I think there are actually three dimensions
to risk profiling:
   1. Time frame – when is the money required?
   2. Volatility tolerance – how much volatility?
   3. Conventionality – given the different cycles of
      value and small cap shares and that they may
      underperform large growth companies for
      extended periods of time, how much of a value
      and small cap tilt is acceptable?
Example model                 High growth Growth Balanced    Low growth Conservative
portfolios
Growth assets                    100.00%   85.00%   70.00%       55.00%       30.00%

Income assets                      0.00%   15.00%   30.00%       45.00%       70.00%


Australian “Value” Equities       15.00%   13.00%   10.00%        8.00%        4.50%

Australian “Large” Equities       15.00%   13.00%   10.00%       11.00%        6.00%

Australian “Small” Equities        5.00%   4.00%    3.00%         0.00%        0.00%

Global “Value” Equities           15.00%   13.00%   10.00%        8.00%        4.50%

Global “Large” Equities           15.00%   13.00%   10.00%       11.00%        6.00%

Global “Small” Equities            5.00%   4.00%    3.00%         0.00%        0.00%

Listed Property                   30.00%   25.00%   24.00%       17.00%        9.00%

Australian Bonds                   0.00%   5.00%    10.00%       15.00%       20.00%

International Bonds                0.00%   5.00%    10.00%       15.00%       20.00%

Bank Bills (cash)                  0.00%   5.00%    10.00%       15.00%       30.00%


Annualised Return                 14.12%   13.76%   13.25%       12.84%       11.86%

Monthly Standard                   3.39%   2.93%    2.41%         2.01%        1.25%
Deviation
Historical risk and return for model portfolios,
                                 February 1985 - December 2003

                    14.50%
                    14.00%                                                     High growth
                                                                      Growth
Annualised return




                    13.50%
                                                              Balanced
                    13.00%
                                                        Low growth
                    12.50%
                    12.00%                   Conservative
                    11.50%
                         0.00%       1.00%          2.00%         3.00%             4.00%
                                         Monthly standard deviation
February 1985 to December 2003, monthly distribution of returns:
Note the higher peak and narrow spread of the conservative portfolio compared to the
higher risk portfolios, but note also that the riskier portfolios peak further to the right
                showing that on average they have had better returns.

                          80
 Number of occurences




                          70
                          60
                          50
                          40
                          30
                          20
                          10
                            0
                                                                                                                             %


                                                                                                                                        %


                                                                                                                                                 %


                                                                                                                                                          %


                                                                                                                                                                  1%


                                                                                                                                                                        3%


                                                                                                                                                                                 5%


                                                                                                                                                                                           7%


                                                                                                                                                                                                 9%
                                                                                                                 %
                                                    1%




                                                                                   5%


                                                                                             3%


                                                                                                       1%
                                  5%


                                           3%




                                                                9%


                                                                         7%




                                                                                                               -9


                                                                                                                         -7


                                                                                                                                     -5


                                                                                                                                               -3


                                                                                                                                                        -1
                                                                                 -1




                                                                                                     -1
                                -2


                                         -2


                                                  -2


                                                              -1


                                                                       -1




                                                                                           -1




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                                                                                                                                                             0%


                                                                                                                                                                   2%


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                                                                                                                                                                                      6%


                                                                                                                                                                                            8%
                                                                                                                     %


                                                                                                                                 %


                                                                                                                                           %


                                                                                                                                                    %
                                                                                                         0%
                                            2%




                                                                           6%


                                                                                     4%


                                                                                               2%
                           6%


                                    4%




                                                         0%


                                                                  8%




                                                                                                                   -8


                                                                                                                             -6


                                                                                                                                        -4


                                                                                                                                                 -2
                                                                                                         -1
                                            -2




                                                                           -1


                                                                                     -1


                                                                                               -1
                        -2


                                 -2




                                                      -2


                                                               -1




                                                                     High Growth                  Growth                Balanced                 Low growth            Conservative
Maximum drawdown is another way to look at risk which is more
                   meaningful to most people. Drawdown is calculated as the loss from
                   the highest previous high. The losses each portfolio experienced in
                           past bear markets can be clearly seen and compared.
                   30.00%
Maximum drawdown




                   25.00%


                   20.00%


                   15.00%


                   10.00%


                   5.00%


                   0.00%
                            Jan-85


                                     Jan-86




                                                       Jan-88


                                                                Jan-89


                                                                         Jan-90


                                                                                  Jan-91


                                                                                           Jan-92


                                                                                                    Jan-93




                                                                                                                                        Jan-97


                                                                                                                                                 Jan-98




                                                                                                                                                                   Jan-00


                                                                                                                                                                            Jan-01
                                              Jan-87




                                                                                                             Jan-94


                                                                                                                      Jan-95


                                                                                                                               Jan-96




                                                                                                                                                          Jan-99




                                                                                                                                                                                     Jan-02


                                                                                                                                                                                              Jan-03
                                                       High Growth                                     Growth                                             Balanced
                                                       Low growth                                     Conservative
Compared to the individual asset classes, the historical drawdown of the
diversified “High Growth” portfolio was much less. Individual growth
       assets have tended to have up to twice the downside risk.

60.00%

50.00%

40.00%

30.00%

20.00%

10.00%

 0.00%
                                             Jan-86
         Jan-82
                  Jan-83
                           Jan-84
                                    Jan-85


                                                      Jan-87
                                                               Jan-88
                                                                        Jan-89
                                                                                 Jan-90
                                                                                          Jan-91
                                                                                                   Jan-92
                                                                                                            Jan-93
                                                                                                                     Jan-94
                                                                                                                              Jan-95
                                                                                                                                       Jan-96
                                                                                                                                                Jan-97
                                                                                                                                                         Jan-98
                                                                                                                                                                  Jan-99
                                                                                                                                                                           Jan-00
                                                                                                                                                                                    Jan-01
                                                                                                                                                                                             Jan-02
                                                                                                                                                                                                      Jan-03
   Australian shares                                   Global shares                                         Property securities                                                    High Growth
Typical downside risk as measured
            by maximum drawdown
• A “High Growth” model portfolio would have lost about 25% in the
  crash of October 1987 and by the bottom of the next largest three
  subsequent bear markets (September 90, January 95, February 03),
  losses were about 12%.
• Every 15% of allocation to income assets reduced the average
  magnitude of the drawdown at the bottom of each significant bear
  market by an average of about 15% (not surprisingly!) at a cost of
  about 0.5%pa in annualised returns.
• It is also worth noting that the drawdown periods tended to last
  slightly longer in the aggressive portfolios as it took more time to
  make up the greater losses.
• Bear in mind the inferior tax efficiency of the conservative portfolios,
  so for taxable investors the gap between each portfolio would be
  slightly greater.
Designing a portfolio – risk tolerance
• First, determine the time frame of the investment.
• Examining data from model portfolios and adding on a
  margin of safety, decide how much downside risk over that
  time frame that you can accept.
• Remember, the consequence of risk is more important
  than the probability of risk. Risk should be assessed in
  terms of how much damage it would do to your ability to
  pay for something you need at some time in the future.
  Don’t get too obsessed about daily, weekly, monthly or
  even annual volatility if your investment horizon is 20 or
  30 years!
• Of course if your investment horizon is quite short term,
  you probably should be obsessed about short term
  volatility!
Designing a portfolio – value vs. growth
• Value stocks and small companies tend to outperform
  large cap growth companies over the longer term but they
  do have risks of their own.
• Value stocks outperformed by a huge margin during the
  “bear market” of the last few years, in fact Australian
  value stocks even outperformed property trusts during a
  time which is generally remembered as a property boom.
• The trouble though is that during the “tech boom” of the
  late 1990s, value stocks lagged by a large margin. We
  know with hindsight this was a bubble, and most of those
  gains were lost, but this wasn’t that easy to spot at the
  time. The newspapers were all touting the “new
  economy”, and value investors seemed like they were
  obsolete. As a dimension to risk profiling, this one is
  about how willing you are to ignore underperformance and
  the prognostications of pundits.
Designing a portfolio – value vs. growth
• Personally I am happy to have a very strong tilt toward
  value stocks, but not everyone feels that way.
• The numbers for value vs. growth strongly favour value for
  more than half a century in the US and many foreign
  markets where data is available, the track record of value is
  impressive.
• But how many years will you persist with value investing if
  it underperforms the general market? One year? Five
  years? Ten years? How do you know there isn’t really a
  “new paradigm” and markets haven’t really changed?
• Most people prefer to hedge their bets, allocating some but
  not all of their portfolio to value stocks, buying growth
  stocks and having a “balanced” exposure. This may not be
  the highest returning strategy for the very long term, but it
  seems more conservative for most people.
Is value more risky than growth?
• Many academics argue that the outperformance of value stocks vs.
  growth stocks is a “risk premium”, i.e. that investors are merely being
  rewarded for taking on more risk.
• Others who don’t believe in the “efficient market hypothesis” think
  that the outperformance of value is caused be systematic errors made
  by analysts who overestimate the future profits of “growth stocks”
  and underestimate the future profits of “value stocks”, this would be
  an “inefficiency”, an opportunity to earn a higher return without
  higher risk.
• Various people have put forward various theories about the extra risk
  of value, but one of the most obvious troubles with the value = risky
  theory is that value based portfolios tend to be less volatile, not more,
  in fact “growth” portfolios, which have lower returns, can be much
  more volatile.
• This debate has gone on for years and will continue to go on for years
  more, to some people the idea of a “free lunch” in value stocks is
  theoretically impossible, so they hypothesise new forms of risk.
Citigroup BMI value and growth indexes,
 July 1989 to Jan 2004 (Australian shares)
Although the value index in this example outperformed the growth index
 by more than 3%pa, if there is much extra risk in value stocks then it
          doesn’t show in the volatility or drawdown figures.
Longer term in the US: Fama and French large value vs. large growth indexes
January 1926 to December 2003. Again, if there is extra risk it isn’t obvious in
 the drawdown figures. Value outperformed growth by more than 2%pa over
  the entire period but this didn’t translate into meaningfully greater downside
risk. Value was marginally more volatile though, 7.45% per month vs. 5.48%.
Risk of value stocks
• The main reason why many academics say value stocks
  are more risky is because in theory they would have to be
  more risky for the efficient markets hypothesis to remain
  valid. Many explanations are given, but some tend to be
  almost metaphysical, claiming that the risk can’t be
  measured but is there somehow and somewhere.
• Interestingly, prior to academics discovering the “value
  premium”, nobody claimed value stocks were more risky,
  this claim was made by efficient market supporters only
  after the higher returns were proven.
• It is an interesting issue, but from a personal investor’s
  point of view it is a question of whether the value
  premium is likely to persist for ever and whether they are
  willing to tolerate periods of underperformance where
  growth does better than value.
Value vs. growth
In the late 1990s, growth stocks outperformed value
stocks. If you had switched out of value and into growth
following that period of outperformance you would have
been hurt badly by the bear market that followed, where
value stocks outperformed growth by a big margin.
Growth stocks often outperform in rising markets,
especially in the latest stages of bull markets when most
people invest the most money. Typically, value stocks
offer more consistent performance.
If you can’t tolerate underperforming the market or don’t
want to bet on a value premium continuing, stick with
normal large cap “blue chip” shares. Strongly tilted value
and small cap portfolios aren’t suitable for everyone.
Conclusions
• Asset allocation is an overlooked and underrated
  field of investment, but studies show it is more
  influential on the behaviour of a portfolio than
  stock selection or market timing, more importantly
  you can exercise more control over asset allocation
  whereas the others are often a matter of luck.
• Used properly, asset allocation is the major risk
  management tool in an investor’s arsenal, but it
  can also be a source of higher returns.
• Asset allocation can be a complex area with many
  fine points that are often overlooked and is
  particularly important for pension portfolios.
Recommended reading
•Common Sense on Mutual Funds by John Bogle
•The Intelligent Asset Allocator by William Bernstein
•The Four Pillars of Investing by William Bernstein
•A Random Walk Down Wall Street by Burton G. Malkiel
•The Intelligent Investor by Benjamin Graham
•Contrarian Investment Strategies: The Next Generation by David Dreman
•Against the Gods: The Remarkable Story of Risk by Peter Bernstein
•John Neff on Investing by John Neff
Web sites of interest
http://www.stanford.edu/~wfsharpe/art/active/active.htm
http://www.stanford.edu/~wfsharpe/art/talks/indexed_investing.htm
http://marriottschool.byu.edu/emp/srt/passive.html
http://www.diehards.org/
http://www.investorsolutions.com/ArticleShow.cfm?
Link=art_It_Dont_Get_Much_Worse_Than_This.cfm
http://www.investorhome.com/cherry.htm
http://library.dfaus.com/faqs/
http://library.dfaus.com/articles/dimensions_stock_returns_2002/
http://www.indexfunds.com/
http://faculty.haas.berkeley.edu/odean/
http://www.efficientfrontier.com/
http://www.tweedy.com/library_docs/papers.html
http://www.travismorien.com
Disclaimer:
Information contained herein has been obtained from sources
believed to be reliable, but is not guaranteed.
This article is distributed for educational purposes and should not
be considered investment advice or an offer of any security for
sale. Investors should seek the advice of their own qualified
advisor before investing in any securities.
Please note that returns quoted in this article are based on historical
performance of indexes, not actual products. Real world products
(index funds) are available to track the majority of indexes quoted
in this presentation, but returns will be affected by fees and taxes.
Past returns are not a reliable indicator of future returns.

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Portfolio copy

  • 1. How to construct a portfolio using simplified modern portfolio theory Travis Morien Compass Financial Planners Pty Ltd travis@travismorien.com http://www.travismorien.com
  • 2. Before viewing this presentation: The presentation you are about to view on building portfolios is the “sequel” to a slideshow on selecting managed funds. Some concepts are carried forward from that presentation and are assumed knowledge. If you haven’t already done so, download the original presentation from http://www.travismorien.com/investment.ppt
  • 4. Basic principles • There are many asset classes out there and many of them are useful to investors. • Some asset classes are noted for their long term stability (low risk), others for their high returns. • Generally speaking, the higher the reward you are after, the more risk you’ll need to take. • Portfolios can be constructed out of multiple asset classes that exhibit superior risk and return relationships to any single asset, because diversification can significantly reduce risk.
  • 5. Why risk and return are linked.. Investment A is the A obvious choice… A … but add risk, is the choice still obvious? B B B would die out through lack of takers! When two investments appear to offer identical risk, investors will prefer to buy the higher returning one. If the market is peopled by reasonably well informed investors, there simply won’t be any high returning low risk investments left and nobody will buy high risk assets with a low expected return.
  • 6. Risk and return continued • In a portfolio construction context “risk” is usually measured with some sort of measure of price volatility. • There are other risks of course that need to be taken into account. • Inflation risk is a major problem with the more “conservative” asset classes such as fixed interest and cash. Many pensioners find to their horror that they can no longer live off their savings, despite the conservatism of their strategy, simply because their returns weren’t high enough to maintain the portfolio’s real value after inflation, costs and withdrawals. • It is necessary for all but the most short term oriented investors to consider at least some exposure to growth assets like shares and property, just to fight inflation.
  • 7. Major asset classes: shares • Shares are part interests in businesses. How good a return you get on your share depends to a large extent on the fundamental business developments of the company itself and on the price you paid for the share. • Averaged out over many companies, shares as an asset class tend to respond to interest rates and the economy. • Although in the last few years many markets have fallen substantially, shares are still the highest performing asset class over the long term and by far the most tax efficient. • Shares generally go up in price over the long term because businesses don’t pay out 100% of their profits as dividends, they keep some to grow the value of the business itself. • Over the long term, shares have beaten inflation by about 6%pa.
  • 8. Major asset classes: property • There are many types of property to invest in, each are different. • The highest income yield comes generally from commercial and industrial property, which often pay the owner as much as 10%pa in rent alone. • Residential property is an asset class that has really been booming over the last few years, but rental yields are now alarmingly bad by historical standards meaning that investors are highly reliant on capital growth. • Over the longer term you can expect property to grow in capital value at about the same rate as inflation (because the salaries with which we have to pay the mortgages only grow with inflation – there eventually comes a limit when growth above inflation just can’t be sustained), though local supply and demand issues mean actual returns could be higher or lower over a particular period of time.
  • 9. Major asset classes: fixed interest • A “fixed interest” investment is a debt that can be bought and sold. • The borrowers are usually governments and companies. A typical fixed interest investment pays a regular “coupon” (interest payment) and will repay the principle on maturity. • Some fixed interest securities have a maturity of several decades, others are shorter term. • The actual price of a fixed interest investment will fluctuate in response to many things, most particularly interest rates. If general interest rates fall, the price of a long term fixed interest security will usually rise such that the “yield to maturity” is similar to those of other investments with a similar risk. On the other hand, if interest rates rise, fixed interest investments fall. • A typical fixed interest portfolio is yielding less than 5% right now, though falling interest rates over the last decade have helped bonds to deliver very strong performance which included a growth component.
  • 10. Major asset classes: cash • “Cash” may mean currency, but in an investment context cash is just a really short term highly liquid fixed interest investment. • Longer term fixed interest investments are usually called “bonds”, shorter term fixed interest investments may be called “notes” and really short term ones are often called “bills”. • Cash management trusts usually invest in a portfolio of high quality short term fixed interest investments. Because of the short maturity, these fixed interest investments aren’t as sensitive to interest rate changes and thus don’t have a great deal of capital volatility. • Many cash investments are returning about 4% at the moment.
  • 11. Other asset classes • Shares, property, bonds and cash are the major asset classes, but there are many others to choose from. • Hedge funds are sometimes called a distinct asset class as they pursue unconventional strategies that give them performance very different to the asset classes that they invest in. • “Private equity” is basically a shares investment, but in companies not listed on a stock exchange. • Agribusinesses are agricultural investments in things like tree farms and vineyards. • Some people also consider commodities like gold to be an asset class of its own, and many people consider collectibles, race horses and fine wines to be useful alternative investment asset classes.
  • 12. The point of portfolio construction • A portfolio is often more than the sum of its parts. Because not all asset classes perform the same way over the short term, a portfolio of many asset classes usually offers a superior overall relationship between risk and return to any single asset. • A portfolio consisting only of shares would have done badly in the last few years since the US market crashed, but property and bonds have performed very well. This is quite typical, more “defensive” asset classes often do well when equities are falling. • A diversified portfolio has a reasonable long term growth rate because over time all asset classes offer a positive return, but being invested across different asset classes smooths out returns and offers a more predictable growth rate.
  • 13. The last twenty years have seen very good returns for all major asset classes, well in excess of inflation, but the risk and return are highly variable. GROWTH - CUMULATIVE RETURNS 1500 S&P/ASX500 Index A$ MSCI World Index A$ Percent Return 1000 ASX 300 Prop Index A$ UBS Comp Bond A$ 500 UBS 90 Day Bank Bill A$ Aust CPI Index A$ 0 12/84 5/87 10/89 3/92 8/94 1/97 6/99 11/01 4/04 Time Periods: 1/85 to 3/04
  • 15. How diversification reduces risk There are two mechanisms by which diversification reduces risk: dilution and interference. • Dilution is easy enough to understand, if you swap half your shares for cash then you lose half your equity exposure and therefore half your equity risk. If the market crashed tomorrow you’d only lose half as much. • “Interference” (a term I pinched from physics where it is used to describe the way waves interact), is where negative movements in some assets are partly cancelled by positive ones in other assets. A good example is with property vs. shares, in the recent bear market in shares property did very well while shares tanked, the opposite may be true in the next few years.
  • 16. Interference and correlation “Correlation” is the word given to the extent to which assets move together, this is measured with statistical formulae. Correlations can range from -1 (perfectly negatively correlated) through to +1 (perfectly positively correlated). If asset B tends to move in the opposite direction to asset A then these two assets are said to have “negative correlation”, and they can be highly effective at cancelling out each other’s volatility. If the assets both trend upwards over the longer term a combination of them will have a return equal to the average of the two assets’ returns but with substantially reduced volatility. Negatively correlated assets cancel the greatest amount of each other’s volatility.
  • 17. Negative correlation isn’t essential • Assets don’t need to be negatively correlated to have some volatility smoothing. • As long as the correlation is less than +1 the assets will be at least a little bit different and at least some volatility will be cancelled. • Most real world assets are positively correlated because most prices are related somehow to important “macro” factors like global economic growth, interest rates, oil prices etc. • Even if negative correlations are rare, substantial volatility reduction is possible by using assets with a low positive correlation. • For example, the annual correlation of Australian listed property with Australian shares from 1982 to 2003 has been about 0.68, but the correlation of property with international shares was about 0.30, the correlation of Australian shares with international shares was about 0.64, so a mixed portfolio would be quite effectively diversified.
  • 18. The “efficient frontier” is the name given to the line that joins all portfolios that have achieved a maximum return for a given level of risk (portfolios that are “efficient”). If you programmed a computer to chart every possible portfolio that could be constructed out of a group of assets and plotted a point on a risk vs. return chart, the resulting plot usually looks much like the chart below. The top of the curve is the efficient frontier, anything below that curve is an “inefficient” portfolio, anything actually on the curve, or close to it, is an “efficient” portfolio. Return Efficient portfolios on or near the efficient frontier Risk Inefficient portfolios below efficient frontier
  • 19. Efficient vs. inefficient portfolios • It is impossible to predict in advance which portfolios will be the most efficient as this would require knowing in advance asset class performance and correlations. • A portfolio that has been diversified into a variety of asset classes should be close to efficient over the longer term, provided it is rebalanced regularly.
  • 20. Rebalancing • Rebalancing a portfolio is the process of adjusting a portfolio to bring it back to its original asset allocation. • Since assets perform differently at different times, the portfolio is likely to drift from your desired asset allocation. • Failure to rebalance means that a portfolio can change risk profile over time and may no longer be appropriate.
  • 21. A simple rule of portfolio construction • If you have two assets with roughly equal expected returns, putting 50% into each is a way to hedge one’s bets (and spread the risk) without compromising expected return. The lower the correlation of those assets, the more the risk will be reduced while not reducing expected returns at all. • Actually, this holds true with a greater number of investments as well. For example, if you have five equally attractive assets you could invest one fifth in each.
  • 22. Since 1982 Australian shares (ASX500 index), international shares (MSCI world index) and property securities (ASX300 listed property index) have had roughly the same return… GROWTH OF DOLLAR 30 25 S&P/ASX500 Index A$ Value of Dollar 20 15 MSCI World Index A$ 10 5 ASX 300 Prop Index A$ 0 12/81 9/84 6/87 3/90 12/92 9/95 6/98 3/01 12/03 Time Periods: 1/82 to 12/03
  • 23. So using our simple rule of thumb that if the three assets have similar returns we’ll use a third in each, we get the following portfolio which has outperformed all three with much less volatility! (Rebalanced monthly) GROWTH OF DOLLAR 30 S&P/ASX500 25 Index A$ Value of Dollar 20 MSCI World Index A$ 15 ASX 300 Prop 10 Index A$ 5 One third in each 0 12/81 9/84 6/87 3/90 12/92 9/95 6/98 3/01 12/03 Time Periods: 1/82 to 12/03
  • 24. Diversifiable vs. undiversifiable risk • There is such a thing as “diversifiable” risk, as you add extra assets to the portfolio the volatility tends to decrease – but only up to a point. When a portfolio reaches a certain level of diversification the only way to reduce risk is to add lower risk assets which will reduce volatility by dilution, this usually reduces the return. • Risk which cannot be diversified away is “undiversifiable” or “systemic” risk. Holding every stock in the market (i.e. with an index fund) smooths out the maximum amount of diversifiable risk for shares, but you are still left with the risk of the market itself, that risk cannot be reduced unless you spread your portfolio across more asset classes. • According to financial theory, investors only get rewarded for taking on systemic risk. Having an under-diversified portfolio results in greater risk but no extra expected return. This is one definition of “speculation”. (There are others.)
  • 25. Diversification can also increase returns A higher return may often be obtained from rebalancing the portfolio as a result of “reversion to the mean”. If you believe that at some point in the future two assets will give the same cumulative return then it would make sense to invest in the asset class with the worst recent performance and sell the one with the best performance! Rebalancing does precisely this, although it is normally seen only as a risk management technique. This is why the diversified portfolio did a little better than all three component asset classes. A small “rebalancing premium” is quite common because last year’s worst performing asset class often outperforms last year’s best performing asset class this year.
  • 26. Improving the efficient frontier • Investors desire higher returns with lower risk. There is however a limit to what can be achieved with a particular set of assets, that limit is drawn on charts as the efficient frontier. • By adding more assets we can change the shape of the efficient frontier. Assets carry two items of interest to us, their returns and their correlation with the rest of the portfolio.
  • 27. Refining our asset allocation • There is wide acceptance that so-called “value” stocks outperform “growth” stocks, and “small companies” tend to outperform “large companies”, at least over the longer term. • Their higher long term performance is very interesting, but so too is the fact that they often have a low correlation to large growth companies, the dominant stocks in the market. • They provide what asset allocation buffs call an “independent source of risk and return.” This may enable us to improve the efficient frontier.
  • 28. Fama and French’s “Three factor” model Your returns mostly come down to asset allocation: • The mix of stocks vs. bonds • The average company size • The value characteristics of the stocks - how “cheap” stocks are compared to book value. Picture credit: Dimensional Fund Advisors
  • 29. Over the long term value stocks and small companies have outperformed large companies. These are the returns of global value, large company and small company indexes calculated by Dimensional Fund Advisors from January 1975 – December 2003: GROWTH OF DOLLAR (LOG PLOT) 1000 Global value 19.70%pa Global small caps 20.29%pa Global V Gross A Value of Dollar 100 Global L Gross A 10 Global large companies 14.98%pa Global S Gross A 1 12/74 7/78 2/82 9/85 4/89 11/92 6/96 1/00 8/03 3/07 Time Periods: 1/75 to 12/03
  • 30. Adding value and small caps to a large cap growth equity portfolio gives a better return than a large cap only portfolio, but the volatility is actually lower, not higher. A mixed portfolio is more “efficient”. GROWTH OF DOLLAR (LOG PLOT) Large Large + 100 cap value + small 20% Australian large Annualised Return %pa 14.00% 16.33% 20% Australian value 10% Australian small Total Cumulative Return Large 2433% 4072% Portfolio 20% global large Monthly Standard Deviation 4.19% 3.93% 20% global value Monthly Average Return 1.19% 1.35% 10% global small Annualised Standard 14.53% 13.62% Value of Dollar Deviation* 10 Data from Dimensional Fund Advisors DFA Returnw program, gross return of indexes 50% Australian large tracked by DFA equity trusts. See http://www.dimensional.com.au 50% global large Tilted *Annualised standard deviation is presented as Portfolio an approximation by multiplying the monthly or quarterly standard deviation by the square root of the number of periods in a year. Please note 1 12/79 1/83 2/86 3/89 4/92 5/95 6/98 7/01 8/04 that the standard deviation computed from annual data may differ materially from this Time Periods: 1/80 to 8/04 estimate.
  • 31. Total stock market vs. “slice and dice” • The stock market is dominated by what would be classified as “large growth companies”, also known as “blue chips”. As a portion of market capitalisation, the very largest companies dominate the market and so an exposure in market weightings tends to have a very small amount of small company and value exposure. • Many asset allocators believe a portfolio should have more small company and value exposure than the market gives. Although small companies might only make up 5% of the market by capitalisation, they make up the vast majority of listed companies by number. Despite the tiny market weighting, asset allocators often allocate a larger amount of 10 to 20% to small caps and similarly overweight value companies.
  • 32. Computer backtest optimisation • A common tool used is called a “mean-variance optimiser” or MVO, a computer program that backtests portfolios to find the ones that lie on the efficient frontier. It looks at historical correlations, mean returns and volatility. • The idea isn’t as good in practice as it sounds in theory because past performance is no guarantee of future results. The program usually only does what inept investors have always done – chase past performance, wags have dubbed MVO’s “error maximisers”. • A non-technical approach goes back to the basics – try to build your portfolio from many “independent sources of risk and return”. This simply means you should diversify into many different asset classes.
  • 33. So how do you go about constructing a portfolio? • The usefulness of historical correlations and returns is usually overstated, but can form a crude guide as long as we don’t take them too seriously. • Don’t get too hung up on quantitative data, but try to find assets that are very different (e.g. property vs. shares.) • Our first example of a diversified portfolio had a one third allocation to Australian shares, one third to international shares and one third to property. Since over the longer term these asset classes deliver approximately the same returns but operate on somewhat different cycles, that isn’t a bad allocation to start with for a high growth portfolio.
  • 34. Decisions, decisions… • Active funds or passive/index funds? • How much to growth assets, how much to income assets? • Balance of value stocks to growth stocks? • How much large cap shares, how much small caps? • How much money to put in developed markets vs. emerging markets? • Currency hedged or unhedged international shares? • Listed or unlisted property? • Short or long maturity fixed interest?
  • 35. • Within the one third allocated to Australian shares in our simple starting portfolio, we can allocate money between large cap growth, small cap growth, large cap value and small cap value. We can also allocate along the lines of industrials vs. resource stocks. • Within the one third allocated to international shares we have the same asset classes above, but we can also allocate to developed markets or emerging markets. • One might even consider allocating some of the shares investments to private equity (unlisted shares), which may often provide a very high return yet at substantial risk. A small allocation to a risky asset with low correlation to other asset classes can actually reduce the volatility of the overall portfolio. • Long/short managed funds can also be useful as they usually have a very low correlation with the indexes.
  • 36. Risky assets vs. risky portfolios. • It is important to think about risk in a portfolio context, not an asset context. Portfolio building should be seen more like cooking – we are more concerned with the final product than the taste of each ingredient. Pepper tastes great on a steak, but makes a lousy meal by itself. • Small percentage allocations to riskier assets like emerging markets, private equity, commodities, hedge funds and agribusiness can actually reduce the risk of the overall portfolio because they don’t operate on the same cycles as major asset classes. Small allocations to such assets can have a great impact on the efficient frontier.
  • 37. Are risky assets like emerging markets too risky for conservative portfolios? • Emerging markets are by themselves a very risky asset class, their monthly volatility is Addition of emerging markets to a global large cap portfolio about 50% higher than global large companies (DFA indexes). 12 On the other hand, their Annualised return 11 correlation with the global large 10 20.0% 25.0% caps indexes is quite low. 15.0% 10.0% 9 • Despite the high volatility of 7.5% 5.0% 2.5% emerging markets, their low 8 0.0% correlation with global large cap 7 equities means a small percentage 6 allocation of emerging markets to 5 a global portfolio can actually 4.24 4.26 4.28 4.3 4.32 4.34 reduce the volatility of a portfolio Monthly std deviation while potentially increasing January 1988 to January 2004, DFA Emerging returns. Markets index plus Global Large Company index.
  • 38. A little volatility can go a long way • In a sense, the high volatility of the riskier asset classes is one of their most valuable attributes for a portfolio. • The high volatility of asset classes like emerging markets and commodities means they punch well above their weight in contributing risk and return to the portfolio. • A 5% allocation to a risky asset class with low correlation to “mainstream” asset classes might contribute as much diversification as a 20% allocation to a less volatile asset class, so only a small amount needs to be invested to improve portfolio diversification.
  • 39. Review of the return vs. volatility of major asset classes from January 1988 to January 2004. 20 18 16 Aus value Emerg Mkts 14 Anualised return % 12 Listed property Global Value Global bonds Aus large 10 Aus bonds Global Small 8 Cash Global Lge Unlisted property Aus small 6 trusts 4 2 0 0 1 2 3 4 5 6 7 Monthly std deviation %
  • 40. • Obviously some asset classes have been more efficient than others over this time frame, but which asset classes will be best over the next 10 years is another matter entirely. • Australian value stocks for example continued to provide strong gains over the last few years as the rest of the stock market, especially international stocks, did poorly. In 2003, Australian small caps rose 40% (nearly twice what large companies returned) despite underperforming over the previous decade. • There really is no way to forecast which assets are going to outperform, although that doesn’t stop people from trying!
  • 41. Adding conservative assets • So far we’ve only shown what happens when growth assets of the various flavours of shares and property are added together. • Although we can substantially improve on large cap growth share portfolios in terms of risk and return there are limits to how conservative a portfolio of growth assets can be, to push the efficient frontier more toward lower risks the income asset classes (bonds, cash, mortgages) will need to be added. • We have to accept that over the longer term this will probably cost the investor money due to a lower expected return, but the risk reduction potential is tremendous and this may be more suitable for conservative investors.
  • 42. Half the risk doesn’t mean half the return! • Risk to reward ratios get more favourable for conservative portfolios. • Putting half a share portfolio into cash will basically halve the risk, but since cash doesn’t return 0% you won’t halve the return. • If you gear a portfolio though you do double your risk (if you use 50% leverage), but because you have to pay interest on the loan you won’t double your return. • Conservative portfolios therefore can greatly reduce risk without necessarily having the same amount of reduction in the return. This can be seen on the efficient frontier, which is usually curved instead of straight.
  • 43. A property of efficient frontiers is that the left side of the chart is usually a lot steeper than the right side. Addition of even a small amount of cash to a share portfolio (here we have used the ASX500 All Ordinaries share index from January 1980 to January 2004) can significantly reduce volatility with very little impact on returns and the addition of a small amount of shares to a cash portfolio can significantly increase returns without increasing volatility much. Percentage cash in an Australian shares portfolio Annualised return % 13 30% 20% 10% 0% 12 50% 40% 60% All cash 70% All shares 11 80% 90% 100% 10 9 0 1 2 3 4 5 6 Monthly std deviation %
  • 44. Part Three Risk profiling and portfolio design
  • 45. So why not always use a medium risk portfolio? • If diversification makes it relatively easy to substantially reduce risk for only a small cost in return, why not do it all the time? • The answer lies in compounding interest. Over a long period a small increase in returns makes a big difference to the final portfolio value. • The difference between a portfolio that returns 8% over 20 years and a portfolio that returns 10% over 20 years is very substantial. Ten thousand dollars invested at 8% for 20 years will grow to $46,610, one thousand invested at 10% for 20 years will grow to $67,275 - a very significant difference! If you are young then your time frame on retirement assets is likely to be 30 years or more. • Growth assets are also generally more tax efficient and therefore the gap between aggressive and conservative portfolios widens after tax.
  • 46. Over a short period of time there is very little difference so it may not be worth taking a risk, but if you do have a long term horizon then serious thought should be put into ways to get an extra percentage point or two out of the portfolio. An extra point of risk is often hard to notice without a computer, but an extra point of return makes a very big difference in the long term! Risk is important but being overly conservative can be a costly mistake over the long term. $200,000 $180,000 $160,000 $140,000 $120,000 $100,000 $80,000 $60,000 $40,000 $20,000 $0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 8% 10%
  • 47. Choosing a level of risk vs. return • “Risk profiling” is a tricky business that depends on the time horizon, risk tolerance and return requirements of an investor. • As a financial planner I spend a lot of time working on this with clients, but it is a complex area and it is outside the scope of this presentation. • Some model portfolios with different levels of risk and their risk/return profiles are shown on the next few slides.
  • 48. Three dimensional approach to risk profiling Most advisors discuss risk tolerance in terms of potential volatility only, often using short multi- choice questionnaires. In my opinion, this is inadequate and doesn’t really address the client’s needs. I think there are actually three dimensions to risk profiling: 1. Time frame – when is the money required? 2. Volatility tolerance – how much volatility? 3. Conventionality – given the different cycles of value and small cap shares and that they may underperform large growth companies for extended periods of time, how much of a value and small cap tilt is acceptable?
  • 49. Example model High growth Growth Balanced Low growth Conservative portfolios Growth assets 100.00% 85.00% 70.00% 55.00% 30.00% Income assets 0.00% 15.00% 30.00% 45.00% 70.00% Australian “Value” Equities 15.00% 13.00% 10.00% 8.00% 4.50% Australian “Large” Equities 15.00% 13.00% 10.00% 11.00% 6.00% Australian “Small” Equities 5.00% 4.00% 3.00% 0.00% 0.00% Global “Value” Equities 15.00% 13.00% 10.00% 8.00% 4.50% Global “Large” Equities 15.00% 13.00% 10.00% 11.00% 6.00% Global “Small” Equities 5.00% 4.00% 3.00% 0.00% 0.00% Listed Property 30.00% 25.00% 24.00% 17.00% 9.00% Australian Bonds 0.00% 5.00% 10.00% 15.00% 20.00% International Bonds 0.00% 5.00% 10.00% 15.00% 20.00% Bank Bills (cash) 0.00% 5.00% 10.00% 15.00% 30.00% Annualised Return 14.12% 13.76% 13.25% 12.84% 11.86% Monthly Standard 3.39% 2.93% 2.41% 2.01% 1.25% Deviation
  • 50. Historical risk and return for model portfolios, February 1985 - December 2003 14.50% 14.00% High growth Growth Annualised return 13.50% Balanced 13.00% Low growth 12.50% 12.00% Conservative 11.50% 0.00% 1.00% 2.00% 3.00% 4.00% Monthly standard deviation
  • 51. February 1985 to December 2003, monthly distribution of returns: Note the higher peak and narrow spread of the conservative portfolio compared to the higher risk portfolios, but note also that the riskier portfolios peak further to the right showing that on average they have had better returns. 80 Number of occurences 70 60 50 40 30 20 10 0 % % % % 1% 3% 5% 7% 9% % 1% 5% 3% 1% 5% 3% 9% 7% -9 -7 -5 -3 -1 -1 -1 -2 -2 -2 -1 -1 -1 to to to to to to to to to to to to to to to to to to 0% 2% 4% 6% 8% % % % % 0% 2% 6% 4% 2% 6% 4% 0% 8% -8 -6 -4 -2 -1 -2 -1 -1 -1 -2 -2 -2 -1 High Growth Growth Balanced Low growth Conservative
  • 52. Maximum drawdown is another way to look at risk which is more meaningful to most people. Drawdown is calculated as the loss from the highest previous high. The losses each portfolio experienced in past bear markets can be clearly seen and compared. 30.00% Maximum drawdown 25.00% 20.00% 15.00% 10.00% 5.00% 0.00% Jan-85 Jan-86 Jan-88 Jan-89 Jan-90 Jan-91 Jan-92 Jan-93 Jan-97 Jan-98 Jan-00 Jan-01 Jan-87 Jan-94 Jan-95 Jan-96 Jan-99 Jan-02 Jan-03 High Growth Growth Balanced Low growth Conservative
  • 53. Compared to the individual asset classes, the historical drawdown of the diversified “High Growth” portfolio was much less. Individual growth assets have tended to have up to twice the downside risk. 60.00% 50.00% 40.00% 30.00% 20.00% 10.00% 0.00% Jan-86 Jan-82 Jan-83 Jan-84 Jan-85 Jan-87 Jan-88 Jan-89 Jan-90 Jan-91 Jan-92 Jan-93 Jan-94 Jan-95 Jan-96 Jan-97 Jan-98 Jan-99 Jan-00 Jan-01 Jan-02 Jan-03 Australian shares Global shares Property securities High Growth
  • 54. Typical downside risk as measured by maximum drawdown • A “High Growth” model portfolio would have lost about 25% in the crash of October 1987 and by the bottom of the next largest three subsequent bear markets (September 90, January 95, February 03), losses were about 12%. • Every 15% of allocation to income assets reduced the average magnitude of the drawdown at the bottom of each significant bear market by an average of about 15% (not surprisingly!) at a cost of about 0.5%pa in annualised returns. • It is also worth noting that the drawdown periods tended to last slightly longer in the aggressive portfolios as it took more time to make up the greater losses. • Bear in mind the inferior tax efficiency of the conservative portfolios, so for taxable investors the gap between each portfolio would be slightly greater.
  • 55. Designing a portfolio – risk tolerance • First, determine the time frame of the investment. • Examining data from model portfolios and adding on a margin of safety, decide how much downside risk over that time frame that you can accept. • Remember, the consequence of risk is more important than the probability of risk. Risk should be assessed in terms of how much damage it would do to your ability to pay for something you need at some time in the future. Don’t get too obsessed about daily, weekly, monthly or even annual volatility if your investment horizon is 20 or 30 years! • Of course if your investment horizon is quite short term, you probably should be obsessed about short term volatility!
  • 56. Designing a portfolio – value vs. growth • Value stocks and small companies tend to outperform large cap growth companies over the longer term but they do have risks of their own. • Value stocks outperformed by a huge margin during the “bear market” of the last few years, in fact Australian value stocks even outperformed property trusts during a time which is generally remembered as a property boom. • The trouble though is that during the “tech boom” of the late 1990s, value stocks lagged by a large margin. We know with hindsight this was a bubble, and most of those gains were lost, but this wasn’t that easy to spot at the time. The newspapers were all touting the “new economy”, and value investors seemed like they were obsolete. As a dimension to risk profiling, this one is about how willing you are to ignore underperformance and the prognostications of pundits.
  • 57. Designing a portfolio – value vs. growth • Personally I am happy to have a very strong tilt toward value stocks, but not everyone feels that way. • The numbers for value vs. growth strongly favour value for more than half a century in the US and many foreign markets where data is available, the track record of value is impressive. • But how many years will you persist with value investing if it underperforms the general market? One year? Five years? Ten years? How do you know there isn’t really a “new paradigm” and markets haven’t really changed? • Most people prefer to hedge their bets, allocating some but not all of their portfolio to value stocks, buying growth stocks and having a “balanced” exposure. This may not be the highest returning strategy for the very long term, but it seems more conservative for most people.
  • 58. Is value more risky than growth? • Many academics argue that the outperformance of value stocks vs. growth stocks is a “risk premium”, i.e. that investors are merely being rewarded for taking on more risk. • Others who don’t believe in the “efficient market hypothesis” think that the outperformance of value is caused be systematic errors made by analysts who overestimate the future profits of “growth stocks” and underestimate the future profits of “value stocks”, this would be an “inefficiency”, an opportunity to earn a higher return without higher risk. • Various people have put forward various theories about the extra risk of value, but one of the most obvious troubles with the value = risky theory is that value based portfolios tend to be less volatile, not more, in fact “growth” portfolios, which have lower returns, can be much more volatile. • This debate has gone on for years and will continue to go on for years more, to some people the idea of a “free lunch” in value stocks is theoretically impossible, so they hypothesise new forms of risk.
  • 59. Citigroup BMI value and growth indexes, July 1989 to Jan 2004 (Australian shares) Although the value index in this example outperformed the growth index by more than 3%pa, if there is much extra risk in value stocks then it doesn’t show in the volatility or drawdown figures.
  • 60. Longer term in the US: Fama and French large value vs. large growth indexes January 1926 to December 2003. Again, if there is extra risk it isn’t obvious in the drawdown figures. Value outperformed growth by more than 2%pa over the entire period but this didn’t translate into meaningfully greater downside risk. Value was marginally more volatile though, 7.45% per month vs. 5.48%.
  • 61. Risk of value stocks • The main reason why many academics say value stocks are more risky is because in theory they would have to be more risky for the efficient markets hypothesis to remain valid. Many explanations are given, but some tend to be almost metaphysical, claiming that the risk can’t be measured but is there somehow and somewhere. • Interestingly, prior to academics discovering the “value premium”, nobody claimed value stocks were more risky, this claim was made by efficient market supporters only after the higher returns were proven. • It is an interesting issue, but from a personal investor’s point of view it is a question of whether the value premium is likely to persist for ever and whether they are willing to tolerate periods of underperformance where growth does better than value.
  • 62. Value vs. growth In the late 1990s, growth stocks outperformed value stocks. If you had switched out of value and into growth following that period of outperformance you would have been hurt badly by the bear market that followed, where value stocks outperformed growth by a big margin. Growth stocks often outperform in rising markets, especially in the latest stages of bull markets when most people invest the most money. Typically, value stocks offer more consistent performance. If you can’t tolerate underperforming the market or don’t want to bet on a value premium continuing, stick with normal large cap “blue chip” shares. Strongly tilted value and small cap portfolios aren’t suitable for everyone.
  • 63. Conclusions • Asset allocation is an overlooked and underrated field of investment, but studies show it is more influential on the behaviour of a portfolio than stock selection or market timing, more importantly you can exercise more control over asset allocation whereas the others are often a matter of luck. • Used properly, asset allocation is the major risk management tool in an investor’s arsenal, but it can also be a source of higher returns. • Asset allocation can be a complex area with many fine points that are often overlooked and is particularly important for pension portfolios.
  • 64. Recommended reading •Common Sense on Mutual Funds by John Bogle •The Intelligent Asset Allocator by William Bernstein •The Four Pillars of Investing by William Bernstein •A Random Walk Down Wall Street by Burton G. Malkiel •The Intelligent Investor by Benjamin Graham •Contrarian Investment Strategies: The Next Generation by David Dreman •Against the Gods: The Remarkable Story of Risk by Peter Bernstein •John Neff on Investing by John Neff
  • 65. Web sites of interest http://www.stanford.edu/~wfsharpe/art/active/active.htm http://www.stanford.edu/~wfsharpe/art/talks/indexed_investing.htm http://marriottschool.byu.edu/emp/srt/passive.html http://www.diehards.org/ http://www.investorsolutions.com/ArticleShow.cfm? Link=art_It_Dont_Get_Much_Worse_Than_This.cfm http://www.investorhome.com/cherry.htm http://library.dfaus.com/faqs/ http://library.dfaus.com/articles/dimensions_stock_returns_2002/ http://www.indexfunds.com/ http://faculty.haas.berkeley.edu/odean/ http://www.efficientfrontier.com/ http://www.tweedy.com/library_docs/papers.html http://www.travismorien.com
  • 66. Disclaimer: Information contained herein has been obtained from sources believed to be reliable, but is not guaranteed. This article is distributed for educational purposes and should not be considered investment advice or an offer of any security for sale. Investors should seek the advice of their own qualified advisor before investing in any securities. Please note that returns quoted in this article are based on historical performance of indexes, not actual products. Real world products (index funds) are available to track the majority of indexes quoted in this presentation, but returns will be affected by fees and taxes. Past returns are not a reliable indicator of future returns.