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Chapter 05 Risk and Return Past and Prologue 5 1 CHAPTER 05 RISK AND RETURN PAST AND PROLOGUE 1 The 1 VaR will be less than 30 As percentile or probability of a return declines so does the magnitude of that return Thus a 1 percentile probability will produce a smaller VaR than a 5 percentile probability 2 The geometric return represents a compounding growth number and will artificially inflate the annual performance of the portfolio 3 No Since all items are presented in nominal figures the input should also use nominal data 4 Decrease Typically standard deviation exceeds return Thus a reduction of 4 in each will artificially decrease the return per unit of risk To return to the proper risk return relationship the portfolio will need to decrease the amount of risk free investments 5 E r 0 3 44 0 4 14 0 3 16 14 2 0 3 44 14 2 0 4 14 14 2 0 3 16 14 2 540 23 24 The mean is unchanged but the standard deviation has increased 6 a The holding period returns for the three scenarios are Boom 50 40 2 40 0 30 30 00 Normal 43 40 1 40 0 10 10 00 Recession 34 40 0 50 40 0 1375 13 75 E HPR 1 3 30 1 3 10 1 3 13 75 8 75 2 HPR 1 3 30 8 75 2 1 3 10 8 75 2 1 3 13 75 8 75 2 319 79 17 88 79 319 b E r 0 5 8 75 0 5 4 6 375 0 5 17 88 8 94 Chapter 05 Risk and Return Past and Prologue 5 2 7 a Time weighted average returns are based on year by year rates of return YearReturn capital gains dividend price 2007 2008 110 100 4 100 14 00 2008 2009 90 110 4 110 14 55 2009 2010 95 90 4 90 10 00 Arithmetic mean 3 15 Geometric mean 2 33 b TimeCash flowExplanation 0 300Purchase of three shares at 100 per share 1 208Purchase of two shares at 110 plus dividend income on three shares held 2 110Dividends on five shares plus sale of one share at 90 3 396Dividends on four shares plus sale of four shares at 95 per share 396 110 Date 1 1 07 1 1 08 1 1 09 1 1 10 208 300 Dollar weighted return Internal rate of return 0 1661 Chapter 05 Risk and Return Past and Prologue 5 3 8 a E rP rf A P2 4 0 20 0 08 8 0 b 0 09 A P2 A 0 20 A 0 09 0 04 4 5 c Increased risk tolerance means decreased risk aversion A which results in a decline in risk premiums 9 For the period 1926 2008 the mean annual risk premium for large stocks over T bills is 9 34 E r Risk free rate Risk premium 5 7 68 12 68 10 HW 11 HW 12 a E rP 0 3 7 0 7 17 14 per year P 0 7 27 18 9 per year b Security Investment Proportions T Bills30 0 Stock A0 7 27 18 9 Stock B0 7 33 23 1 Stock C0 7 40 28 0 c Your Reward to variability ratio S 0 3704 27 717 Client s Reward to variability ratio 0 3704 9 18 714 Chapter 05 Risk and Return Past and Prologue 5 4 d E r 7 27 14 17 P CAL slope 3704 18 9 client 13 a Mean of portfolio 1 y rf y rP rf rP rf y 7 10y If the expected rate of return for the portfolio is 15 then solving for y Chapter 05 Risk and Return Past and Prologue 5 5 15 7 10y y 0 8 10 715 Therefore in order to achieve an expected rate of return of 15 the client must invest 80 of total funds in the risky portfolio and 20 in T bills b Security Investment Proportions T Bills20 0 Stock A0 8 27 21 6 Stock B0 8 33 26 4 Stock C0 8 40 32 0 c P 0 8 27 21 6 per year 14 a Portfolio standard deviation P y 27 If the client wants a standard deviation of 20 then y 20 27 0 7407 74 07 in the risky portfolio b Expected rate of return 7 10y 7 0 7407 10 14 407 15 a Slope of the CML 25 713 0 24 See the diagram on the next page b My fund allows an investor to achieve a higher expected rate of return for any given standard deviation than would a passive strategy i e a higher expected return for any given level of risk Chapter 05 Risk and Return Past and Prologue 5 6 0 2 4 6 8 10 12 14 16 18 20 0 102030 CAL slope 3704 CML slope 24 16 a With 70 of his money in my fund s portfolio the client has an expected rate of return of 14 per year and a standard deviation of 18 9 per year If he shifts that money to the passive portfolio which has an expected rate of return of 13 and standard deviation of 25 his overall expected return and standard deviation would become E rC rf 0 7 rM rf In this case rf 7 and rM 13 Therefore E rC 7 0 7 6 11 2 The standard deviation of the complete portfolio using the passive portfolio would be C 0 7 M 0 7 25 17 5 Therefore the shift entails a decline in the mean from 14 to 11 2 and a decline in the standard deviation from 18 9 to 17 5 Since both mean return and standard deviation fall it is not yet clear whether the move is beneficial The disadvantage of the shift is apparent from the fact that if my client is willing to accept an expected return on his total portfolio of 11 2 he can achieve that return with a lower standard deviation using my fund portfolio rather than the passive portfolio To achieve a target mean of 11 2 we first write the mean of the complete portfolio as a function of the proportions invested in my fund portfolio y E rC 7 y 17 7 7 10y Chapter 05 Risk and Return Past and Prologue 5 7 Because our target is E rC 11 2 the proportion that must be invested in my fund is determined as follows 11 2 7 10y y 0 42 10 72 11 The standard deviation of the portfolio would be C y 27 0 42 27 11 34 Thus by using my portfolio the same 11 2 expected rate of return can be achieved with a standard deviation of only 11 34 as opposed to the standard deviation of 17 5 using the passive portfolio b The fee would reduce the reward to variability ratio i e the slope of the CAL Clients will be indifferent between my fund and the passive portfolio if the slope of the after fee CAL and the CML are equal Let f denote the fee Slope of CAL with fee 27 f717 27 f10 Slope of CML which requires no fee 0 24 25 713 Setting these slopes equal and solving for f 0 24 27 f10 10 f 27 0 24 6 48 f 10 6 48 3 52 per year 17 Assuming no change in tastes that is an unchanged risk aversion investors perceiving higher risk will demand a higher risk premium to hold the same portfolio they held before If we assume that the risk free rate is unaffected the increase in the risk premium would require a higher expected rate of return in the equity market 18 Expected return for your fund T bill rate risk premium 6 10 16 Expected return of client s overall portfolio 0 6 16 0 4 6 12 Standard deviation of client s overall portfolio 0 6 14 8 4 19 Reward to variability ratio71 0 14 10 deviation Standard premiumRisk Chapter 05 Risk and Return Past and Prologue 5 8 20 Excess Return Average Standard Deviation Sharpe Measure 1926 200813 5137 81 0 36 1926 195520 0249 25 0 41 1956 198412 1832 31 0 38 1985 20086 7725 44 0 27 a In three of the four time frames presented small stocks provide worse ratios than large stocks b Small stocks show a declining trend in risk but the decline is not stable 21 Geometric return data is used from table 5 2 and geometric inflation data from table 5 4 Standard deviations are from the excess return data in table 5 2 AverageInflationReal Return 1926 20089 343 026 1 1926 19559 661 368 2 1956 19849 524 84 5 1985 20088 682 915 6 AverageStandard Deviation Sharpe Measure 1926 20086 1 20 880 29 1926 19558 2 25 40 32 1956 19844 5 17 580 26 1985 20085 6 18 230 31 Real Returns Large Cap Risk Return Ratio Large Cap Chapter 05 Risk and Return Past and Prologue 5 9 22 AverageInflationReal Return 1926 200811 433 028 2 1926 195511 321 369 8 1956 198413 814 88 6 1985 20088 562 915 5 AverageStandard Deviation Sharpe Measure 1926 20088 2 37 810 22 1926 19559 8 49 250 20 1956 19848 6 32 310 27 1985 20085 5 25 440 22 Real Returns Small Cap Risk Return Ratio Large Cap 23 ResultsT Bill S S P P 5 50 00 0Market Average3 655 255 23 SD2 9520 4620 48 Skew0 89 0 84 0 85 Kurtosis0 710 990 88 Percentile 5 0 14 32 09 35 94 Normal 5 1 20 28 40 28 45 Min 0 04 61 89 59 69 Max13 7343 2445 13 Serial corr0 910 080 09 Corr SP500 Mkt 0 99 Corr pf risk free 0 11 0 13 Comparison Chapter 05 Risk and Return Past and Prologue 5 10 The combined markets index represents the Fama French market factor Mkt It is better diversified than the S P 500 index since it contains approximately ten times as many stocks The total market capitalization of the additional stocks however is relatively small compared to the S P 500 As a result the performance of the value weighted portfolios is expected to be quite similar and the correlation of the excess returns very high Even though the sample contains 82 observations the standard deviation of the annual returns is relatively high but the difference between the two indices is very small When comparing the continuously compounded excess returns we see that the difference between the two portfolios is indeed quite small and the correlation coefficient between their returns is 0 99 Both deviate from the normal distribution as seen from the negative skew and positive kurtosis Accordingly the VaR 5 percentile of the two is smaller than what is expected from a normal distribution with the same mean and standard deviation This is also indicated by the lower minimum excess return for the period The serial correlation is also small and indistinguishable across the portfolios As a result of all this we expect the risk premium of the two portfolios to be similar as we find from the sample It is worth noting that the excess return of both portfolios has a small negative correlation with the risk free rate Since we expect the risk free rate to be highly correlated with the rate of inflation this suggests that equities are not a perfect hedge against inflation More rigorous analysis of this point is important but beyond the scope of this question CFA 1 Answer V 12 31 2007 V 1 1 1991 1 g 7 100 000 1 05 7 140
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