Page 112 - Profile's Unit Trusts & Collective Investments - September 2025
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Chapter 6                                                       Investment risk

         Alpha
           By introducing stock picking risk and other fund manager risks, active fund management often
         increases  the  overall  riskiness  of  a  fund  –  at  least  compared  to  its  benchmark.  (Sometimes,  of
         course, active fund management can decrease riskiness, although this is less common.)
           Alpha is a risk-adjusted measure of the active return of an investment. Technically, it is the difference
         between an investment’s expected return, based on its beta, and the actual returns achieved. Hence
         alpha can be thought of as the value that the fund manager contributes to the investment return.
         Of course, alpha can also be negative (ie, when a fund underperforms its benchmark). A positive
         alpha of 1.0 means that a fund outperformed its benchmark by 1%, but note that not all funds that
         outperform their benchmarks have positive alpha – a fund with a very high beta can have negative
         alpha even though it has outperformed its benchmark. Also, because alpha uses beta to predict
         expected returns, the alphas for funds with identical returns but different betas will not be the same.
         Attribution analysis
           Performance attribution, or attribution analysis, refers to various techniques designed to work out
         the causes of a portfolio’s active return.
           For  example,  on  the  assumption  that  portfolio  returns  differ  from  benchmark  returns  mainly
         because  of  asset  allocation,  stock  selection  and  market  timing  decisions,  attribution  analysis
         typically seeks to apportion the active return to these different effects. In other words, performance
         attribution analysis tries to explain how much of the active return was due to the different type of
         investment management decisions made by the fund manager.
           The  goal  of  attribution  analysis,  over  time,  is  to  evaluate  the  skills  of  fund  managers  and  to
         differentiate performance that is the result of luck rather than good judgment.

         Volatility
           One of the most widely used measures of risk is volatility. Volatility measures the extent to which
         an asset’s price goes up and down (or fluctuates around an average). A fixed deposit paying 8% per
         annum has zero volatility: at any point in the year the average return, the expected return and the
         actual return are all the same. The price of a share is much less certain: it could be up or down next
         week or next month, and even a year from now there is no guarantee the price will be higher.
           Technically, volatility is calculated as the standard deviation of monthly returns (ie, monthly gains
         or losses), usually over three years. This figure, which gives an indication of the monthly “variability”
         in returns, is usually annualised to show the average fluctuation over a year (see box on next page).
         Volatility (provided it is calculated on a consistent basis) is comparable across funds and securities
         because it is based on percentage movements, not price.
           The volatility figure can be thought of as a range or a “band” around the average return. The figure
         tells you that, two-thirds of the time, fluctuations in returns have fallen within this band. If you double
         the figure you have a “band” which covers 95% of monthly price fluctuations (both up and down),
         and if you triple the figure there is slightly less than a 1% chance that any monthly fluctuation will
         be greater. Given a fund with historic volatility of 2.0, for example, there is a 99% chance that the
         next month-end change will be between +6% and -6% and a 95% chance it will be between +4%
         and -4%.
           If the fund’s price is 100c now, there’s only a very small chance that the price in a month’s time will
         be greater than 106c or lower than 94c. By contrast, a fund with a volatility of 8.0 carries a definite risk
         (about a 33% chance) of falling to 92c or lower in a month.
           The above concept is better explained with an example. Consider Table 6.1 which shows the
         returns for two different investments over a 20-month period.
           Although the average return is comparable, the Risky Co. Ltd. shows a far greater variability in
         its returns. The standard deviation indicates that most of the returns (in fact, 67% of the time) will
         be  between  12.87%  and  16.75%  (average  of  14.81%  minus  and  plus  one  standard  deviation),
         while the Stable Co. Ltd. investment returns will most of the time vary from 14.04% to 15.62%.





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