In: Finance
A pension fund manager is considering three mutual funds. The first is a stock fund, the second is a long-term government and corporate bond fund, and the third is a T-bill money market fund that yields a rate of 6%. The probability distribution of the risky funds is as follows:
Expected Return | Standard Deviation | |||||
Stock fund (S) | 21 | % | 28 | % | ||
Bond fund (B) | 12 | 18 | ||||
The correlation between the fund returns is 0.09.
What is the Sharpe ratio of the best feasible CAL? (Do not round intermediate calculations. Enter your answers as decimals rounded to 4 places.)
Return on stocks ( E(s) ) = 21%
Standard devaition of stocks (SDs)= 28%
Return on bond ( E (b) ) = 12%
Standard deviation of bonds (SDb) = 18%
Risk free rate (rf) = 6%
Correlation (correl) = 0.09
Weight of investment in stock is given by :
ws = ( ( E(s) - rf) * SDb^2 - ( E(b) - rf) * SDs * SDb * Correl ) / ( E(s) - rf) × SDb^2 + (E(b) - rf) × SDs^2 - ( E(s) - rf + E(b) - rf) * SDs * SDb * correl
This is little confusing, so lets solve one by one
Numerator = ( ( E(s) - rf) * SDb^2 - ( E(b) - rf) * SDs * SDb * Correl )
Numerator = (0.21 - 0.06) × 0.18 ^2 - (0.12 - 0.06) *
0.28 * 0.18 * 0.09
= 0.46%
Denominator = ( E(s) - rf) × SDb^2 + (E(b) - rf) × SDs^2 - ( E(s) - rf + E(b) - rf) * SDs * SDb * correl
Denominator = (0.21 - 0.06) × 0.18 ^2 + (0.12 - 0.06) × 0.28^2 -
(0.21 - 0.06 + 0.12 - 0.06) * 0.18 * 0.28 * 0.09
=0.86%
So
wS = 0.46 / 0.8611 = 0.5328
So
wB = 1 - 0.5328 = 0.4672
Now lets calculated mean and standard devaition of this optimal portfolio
Mean = Weight of S * Return of S + Weight of B * Return of B
Mean E(P) = (0.5328 × 0.21) + (0.4672 × 0.12) = 16.79%
Standard deviation = Square root of ( ( Weight of S * SD of S)^2 + ( Weight of B * SD of B)^2 + (2 * Weight of S* Weight of B * Correlation) )
Standard deviation = square root ( (0.5328 × 0.28^2) + (0.4672 ×
0.18^2) + (2 × 0.5328 × 0.4672 × 0.09) )
= 17.72%
The reward-to-volatility ratio of the optimal CAL is:
E(P) - rf / standard deviation
= (16.79% - 6%) / 17.72%
= 0.61
Let me know if you have any doubts
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