Suppose that assets 1 and 2 are 24% correlated and have the following expected returns and standard deviations:
Asset |
E(R) |
σ |
1 |
14% |
9% |
2 |
8% |
4% |
a) Calculate the expected return and standard deviation for a portfolio consisting of equal weights in assets 1 and 2.
b) What are the weights of a minimum variance portfolio consisting of assets 1 and 2? What is the expected return and standard deviation of this portfolio?
c) Has there been an improvement with respect to the risk-adjusted return as a result of allocating capital according to the minimum variance portfolio weights? You can assume a risk-free rate of 1.5% p.a. in answering this question.
1. Expected return = 0.5*0.14 + 0.5*0.08 = 0.07+0.04 = 0.11 =11%
Expected std.deviation = sqrt(0.52*0.092+0.52*0.042+2*0.5*0.5*0.09*0.04*0.24) = sqrt(0.002857) = 0.053451 = 5.345%
2. W1 = [(0.042) - 0.09*0.04*0.24]/[0.092+0.042-2*0.04*0.09*0.24] = 0.000736/0.007972 = 0.0923 = 9.23%
W2=100-9.23 = 90.77%
expected return = 0.0923* 14+0.9077*8 = 8.554%
Expected std deviation = sqrt(0.001532) = 0.0391= 3.91%
3. Sharpe ratio is first case = (11-1.5)/5.345 = 1.777
Sharpe Ratio is 2nd case = (8.554-1.5)/3.91 = 1.804
2nd sharpe ratio is better than first case, thus there is an improvement in the risk adjusted returns
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