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Question 3 Suppose that the Index Model for stocks A and B is estimated from excess returns with the following results: R=2% +0
Question 3 Suppose that the Index Model for stocks A and B is estimated from excess returns with the following results: R=2% +0.6RM+eA Rg=-2% + 1.1 Rutes Om=20% R'A=0.20; R :=0.12 a). What is the standard deviation of each stock? [4 marks) b). Break-down the variance of each stock into the systematic and firm-specific components. [10 marks) c). What are the covariance and correlation coefficient between the two stocks? [5 marks] d). What is the covariance between each stock and the market index? [5 marks) e). Why do we call alpha a "nonmarket" return premium? Why are high-alpha stocks desirable investments for active portfolio managers? With all other parameters held fixed, what would happen to a portfolio's Sharpe ratio as the alpha of its component securities increased? [6 marks]
Expert Solution
Ans) a)
The standard deviation of each stock can be derived from the following equation for R2:
Standard deviation of A = [(Coefficient of Rm)^2*(sigma_m)^2/(Ra)^2]^0.5 = (0.62 * 202/ 0.20)0.5
Standard deviation of A = 26.83%
For Stock B: following the same formula
Standard deviation of B = (1.12 * 202/ 0.12)0.5
Standard deviation of B = 63.50%
b)
Systematic (market) risk = Beta2 x σM2 and Firm specific risk = σ2(ei) = (Residual standard deviation)2
For Stock A, Systematic Risk = (0.6^2) * (0.2^2) = 0.144
For Stock B, Systematic Risk = (1.1^2)*(0.2^2) = 0.0484
c)
σA2= BetaA2 x σM2 / R-squareA = 0.62 x 0.22 / 0.2 = 0.72
Hence, σA= 0.721/2 = 0.2683 = 26.83%
σB2= BetaB2 x σM2 / R-squareB = 1.12 x 0.22 / 0.12 = 0.403
Hence, σB= 0.4031/2 = 0.635 = 63.5%
The covariance between the two stocks = Cov (RA, RB) = BetaA x BetaB x σM2 = 0.6 x 1.1 x 0.22 = 0.0264
Correlation coefficient = Cov (RA, RB) / (σA x σB) = 0.0264 / (0.2683 x 0.403) = 0.244
d)
The covariance between STOCK A and the market index = BetaA x σM2 = 0.6 x 0.22 = 0.024
The covariance between STOCK B and the market index = BetaB x σM2 = 1.1 x 0.22 = 0.044
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