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Investment risk                                                       Chapter 6


          Quantitative vs qualitative
          Most of the methods for evaluating risk mentioned in this section are quantitative – that is,
          they are calculations based on quantifiable fund data. Quantitative analysis is essentially the
          mathematical and statistical interrogation of data in order to measure performance, risk and
          other factors. Qualitative analysis, by contrast, depends on the subjective judgment of industry experts
          and  concerns  itself  with  factors  that  cannot  easily  be  quantified,  such  as  management  expertise,
          investment flair and economic cycles. Traders, researchers and fund managers who rely heavily on
          quantitative analysis are often referred to as “quants”, although the term is also used to describe the
          metrics of a fund or other investment vehicle.
         multi-asset flexible funds. Over the five years to January 2026, both funds delivered an annualised
         return of 8.68% – representing a similar performance.
           A R100 000 lump sum invested in either fund would have grown to approximately R151 500 over
         the five-year period (excluding entry costs). However, where the funds differ is in the level of risk
         experienced by investors. The Instit BCI Worldwide Moderate Aggressive Flexible Fund recorded a
         standard deviation of around 12.59, whereas the Rock Capital BCI Worldwide Flexible Fund had a
         lower standard deviation of about 8.13, indicating less volatility in returns.
           The implications of the higher volatility of the Instit BCI Worldwide Moderate Aggressive Flexible
         Fund is illustrated in Figure 6.4. Although the ‘’total return’’ lines for the two funds start and end in
         more-or-less the same place, the Instit fund is markedly more volatile. This figure illustrates the risk/
         return principle: the risk of a dramatic reversal of fortune at any arbitrary point in time is much lower
         with the less volatile fund (provided a ‘’high’’ exit point is achieved).
            The Instit BCI Worldwide Moderate Aggressive Flexible Fund and the Rock Capital BCI Worldwide
         Flexible Fund illustrate very well the real meaning of ‘’volatility’’. As you can see from Figure 6.4, they
         have comparable performance over time, and almost identical performance at various points. But
         the greater volatility of the Instit fund means the return at any point in time is less predictable.
           Figure 6.4 also illustrates why volatility is used as a synonym for risk. The Instit fund is considered
         riskier because, based on possible random (or unexpected) exit points, an investor might have been
         considerably better off or considerably worse off than in the less risky Rock Capital fund. Obviously
         this is due to the higher peaks and lower troughs of the Instit fund.
           As you would expect, different unit trust sectors have different average volatilities and differing
         volatility ranges. The latter means that drawing conclusions solely from sector volatility averages
         can be misleading. The South African–General–Equity fund sector, for example, has a wide range
         of volatilities and a relatively high average, but the least volatile general equity fund is often less
         volatile  than  the  most  volatile  South  African  Real  Estate  fund  (although  the  latter  sector  is,  on
         average, less risky).

                                    Figure 6.4: The effect of volatility




















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