An investor can design a risky portfolio based on two stocks, A and B. Stock A h
ID: 2622141 • Letter: A
Question
An investor can design a risky portfolio based on two stocks, A and B. Stock A has an expected return of 19% and a standard deviation of return of 32%. Stock B has an expected return of 14% and a standard deviation of return of 17%. The correlation coefficient between the returns of A and B is .5. The risk-free rate of return is 7%. The proportion of the optimal risky portfolio that should be invested in stock B is approximately _________.
An investor can design a risky portfolio based on two stocks, A and B. Stock A has an expected return of 19% and a standard deviation of return of 32%. Stock B has an expected return of 14% and a standard deviation of return of 17%. The correlation coefficient between the returns of A and B is .5. The risk-free rate of return is 7%. The proportion of the optimal risky portfolio that should be invested in stock B is approximately _________.
Explanation / Answer
We know that: R1 = 19%, R2 = 16%, ?1 = 1.5, and ?1 = 1. To tell which investor was a better
predictor of individual stocks, we should look at their abnormal return, which is the ex-post
alpha, that is, the abnormal return is the difference between the actual return and that
predicted by the SML. Without information about the parameters of this equation (risk-free
rate and the market rate of return) we cannot tell which investor is more accurate.
If Rf = 6% and Rm = 14%, then (using the notation of alpha for the abnormal return):
?1 = 19% - [6% + 1.5(14% - 6%)] = 19% - 18% = 1%
?2 = 16% - [6% + 1(14% - 6%)] = 16% - 14% = 2%.
Here, the second investor has the larger abnormal return, and thus he appears to be a more
accurate predictor. By making better predictions, the second investor appears to have tilted his
portfolio toward underpriced stocks.
If Rf = 3% and Rm = 15%, then
?1 = 19% - [3% + 1.5(15% - 3%)] = 19% - 21% = -2%
?2 = 16% - [3% + 1(15% - 3%)] = 16% - 15% = 1%.
answr:b.29%
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