Page 117 - Profile's Unit Trusts and Collective Investments 2021 issue 2
P. 117

Investment Risk

                                             Chart 6.7
          100
                                                                                    97
           95
                                                 92
           90                                                                     91
           85                             84
                                                                               83
           80
                                       79                                   79
                                              78         77
                                                   76                76
           75
                     72             72                72
           70                                                            69
                                                             68
                                 67
           65            64
                  63                                            63
                            61
           60
               58
                                                                   56
           55
                              52
           50
              J  F  M  A  M  J  J  A  S  O  N  D   J  F  M  A  M  J  J  A  S  O  N  D
            In short, the greater the equity component – and the more narrowly focussed that equity
         component – the greater the volatility. While a useful rule of thumb, it must be remembered that
         there are many exceptions to this principle.
            Scatter plots are often used to compare the relative risk and return of different funds (see Chart
         6.6). The lines dividing the quadrants represent the average risk and the average return of funds
         represented in the graph. Return is plotted on the y-axis and risk, or volatility, on the x-axis. Ideally,
         a fund should be in the top left quadrant (A), giving above-average returns at below average risk.
         Funds that have above average returns but are high risk fall into the top right quadrant (B). Funds
         with below average returns but low risk fall into the bottomleftquadrant(C),and quadrant (D), the
         worst place to be, shows funds with higher than average risk and lower than average returns.
            As with all historical analysis, past performance is not always a good predictor of future
         performance (ie, today’s low-risk high-return star may be tomorrow’s high-risk low-return failure).
         Also, looking at the scatter graph for a single fund in isolation can be misleading (and for this reason,
         an attempt is made on the risk/return graphs shown for certain funds in the fact sheets in section
         two of this Handbook to plot scatter charts on identical scales for the same periods.) Nevertheless, in
         the same way that historical performance figures give us a measure of a fund manager’s ability to
         generate consistent returns, volatility gives us a measure of the risk associated with a fund.
         Max Drawdown
            Maximum drawdown (often shortened to max DD or MDD) is a risk measure that expresses
         maximum loss on a peak to trough basis. A related figure, drawdown duration, is the longest time
         an investment took to regain a former peak.
            Max drawdown is only calculated on a clear historical high-low movement. In Chart 6.7, the
         max drawdown is 39% (92-56 over 92). The most recent high (97) is not used because it occurs
         after the low (56). If the calculation had been done before the previous peak (92), the max
         drawdown would have been 28% (72-52 over 72). In the month after the drop from 92 to 72
         (during the rally back to 77), the max drawdown would still have been 28% because the 92–72
         drop measured only 22%.
            Maximum drawdown is intended to help quantify the worst-case loss scenario. Like volatility,
         however, it depends heavily on the time period used. It can also change quickly. For example, the
         max drawdown of the JSE Top 40 Index over 5 years measured to end February 2020 was around
         19% (the correction of 2018). Three weeks later – measured to 20 March 2020 – the MDD had
         jumped to 38% as a result of the coronavirus-triggered crash. As at end July 2021, it is 49% if
         measured over 15 years (which includes the crash of 2008). The MDD is over 60% if we use a period
         that includes the crash of 1969. Another example: measured from the mid-80s to the end of 2020,
         the MDD of Japan’s Nikkei index is a staggering 82% (high 1990, low 2009); measured from the
         beginning of 2017 to July 2021 it is 32%.


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