a).
i). Alpha(a) = Intercept of the Regression
Stock A's Alpha = 1%;
Stock B's Alpha = 2%;
ii). Information Ratio = Alpha / Residual standard deviation
Stock A's Information Ratio = 1% / 12% = 0.0833
Stock B's Information Ratio = 2% / 20.8% = 0.0962
iii). Sharpe measure = (rp – rf) / Standard Deviation
Stock A's Sharpe Ratio = [1% + 1.2(16% - 8%)] / 23.3%
= [1% + 9.6%] / 23.3%
= 10.6% / 23.3% = 0.4549
Stock B's Sharpe Ratio = [2% + 0.8(16% - 8%)] / 28.3%
= [2% + 6.4%] / 28.3%
= 8.4% / 28.3% = 0.2968
iv). Treynor measure = (rp – rf)/ b
Stock A's Treynor measure = [1% + 1.2(16% - 8%)] / 1.2
= [1% + 9.6%] / 1.2
= 10.6% / 1.2 = 8.8333%
Stock B's Treynor measure = [2% + 0.8(16% - 8%)] / 0.8
= [2% + 6.4%] / 0.8
= 8.4% / 0.8 = 10.5%
b). Stock B is better off in terms of Alpha, Information Ratio and Treynor Measure.
Stock A is better off in terms of sharpe ratio.
Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate...
Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 8%, and the market's average return was 13%. Performance is measured using an index model regression on excess returns. Index model regression estimates R-square Residual standard deviation, 0(e) Standard deviation of excess returns Stock A 1% + 1.2(M - rf) 0.659 11.7% 238 Stock B 2% + 0.8(IM - rf) 0.478 20.5% 27.7% a. Calculate the following statistics for each...
Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 7%, and the market's average return was 13%. Performance is measured using an index model regression on excess returns. Index model regression estimates R-square Residual standard deviation, o(e) Standard deviation of excess returns Stock A 1% + 1.2 (rm -rf) 0.629 11.2% 22.5% Stock B 2% + 0.8(rm -rf) 0.463 20% 26.7% a. Calculate the following statistics for each stock:...
Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 7%, and the market’s average return was 14%. Performance is measured using an index model regression on excess returns. Consider the two excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 7%, and the market's average return was 14%. Performance is measured using an index model regression on excess returns Stock A...
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Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 4%, and the market’s average return was 11%. Performance is measured using an index model regression on excess returns. Stock A Stock B Index model regression estimates 1% + 1.2(rM − rf) 2% + 0.8(rM − rf) R-square 0.683 0.49 Residual standard deviation, σ(e) 12.1% 20.9% Standard deviation of excess returns 23.4% 28.5% a. Calculate the following statistics for each...
Problem 24-9 Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 8%, and the market's average return was 13%. Performance is measured using an index model regression on excess returns. points Index model regression estimates 10 + re) Stock A 1.2(y- 0.659 11.78 238 Stock B 20 + 0.8(EM - 0.478 F Residual standard deviation, die Standard deviation of excess returns a. Calculate the following statistics for each stock...
#05 A Saved Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 5%, a market's average return was 14%. Performance is measured using an index model regression on excess returns. Index model regression estimates R-square Residual standard deviation, ole) Standard deviation of excess returns Stock A 1% + 1.2 (rm -rf) 0.611 10.9% 22.2% Stock B 2% + 0.8(rm -rf) 0.454 19.7% 26.1% a. Calculate the following statistics for...
please show work Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 5%, and the market's average return was 12%. Performance is measured using an index model regression on excess returns. Index model regression estimates R-square Residual standard deviation, o(e) Standard deviation of excess returns Stock A 1% + 1.2 (rm -rf 0.599 10.7% 22% Stock B 2% + 0.8(rm -rf) 0.448 19.5% 25.7% a. Calculate the following statistics...
Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 7%, and the market’s average return was 14%. Performance is measured using an index model regression on excess returns. Stock A Stock B Index model regression estimates 1% + 1.2(rM − rf) 2% + 0.8(rM − rf) R-square 0.635 0.466 Residual standard deviation, σ(e) 11.3% 20.1% Standard deviation of excess returns 22.6% 26.9% a. Calculate the following statistics for each...
Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 5%, and the market’s average return was 12%. Performance is measured using an index model regression on excess returns. Stock A Stock B Index model regression estimates 1% + 1.2(rM − rf) 2% + 0.8(rM − rf) R-square 0.599 0.448 Residual standard deviation, σ(e) 10.7% 19.5% Standard deviation of excess returns 22% 25.7% a. Calculate the following statistics for each...