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Problem 6 Part A.5 Consider the following regression output for the Single Index Model where excess returns on Microsof...
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 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...
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...
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 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...
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 16%. Performance is measured using an index model regression on excess returns. Stock 18 + 1.2 (ry - rp) 0.677 Index model regression estimates R-square Residual standard deviation, (e) Standard deviation of excess returns Stock B 28 +0.8(IN - rf) 0.487 20.88 28.30 126 23.38 a. Calculate the following statistics for each stock:...
Consider the two (excess return) index model regression results for A and B. RA = 1.2%...
Consider the two (excess return) index model regression results for A and B. RA = 1.2% + 1.5M R-square = 0.612 Residual standard deviation = 11.5% RB = -1.8% + 0.9RM R-square = 0.476 Residual standard deviation = 9.5% a. Which stock has more firm-specific risk? Stock A Stock B b. Which stock has greater market risk? Stock A Stock B c. For which stock does market movement has a greater fraction of return variability? Stock A Stock B d....
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 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...
#05 A Saved Consider the two (excess return) index-model regression results for stocks A and B....
#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...
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 4%, and the marker's average return was 11%. Performance is measured using an index model regression on excess returns Index model regression estimates R-square Residual standard deviation, (e) Standard deviation of excess returns Stock A 1% + 1.2M - rf) 2.683 12.15 23.4% Stock 8 2% + 0.8( - rf) 2.49 20.93 28.5% a. Calculate the following statistics for each...
5- Interpret the coefficient of determination (R-squared) and the F test. SUMMARY OUTPUT Regression Statistics Multiple...
5- Interpret the coefficient of determination (R-squared) and the F test. SUMMARY OUTPUT Regression Statistics Multiple R 0.8811 R Square 0.7764 Adjusted R Square 0.7205 Standard Error 14.7724 Observations 16 ANOVA df SS MS F Regression 3 9091.7392 3030.5797 13.8874 Residual 12 2618.7008 218.2251 Total 15 11710.44 Coefficients Standard Error t Stat P-value Intercept 29.1385 174.7427 0.1668 0.8703 PFH -2.1236 0.3405 -6.2361 0.0000 PR 1.0345 0.4667 2.2164 0.0467 M 3.0871 0.9993 3.0892 0.0094
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 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 8%, and the market's average return was 16%. Performance is measured using an index model regression on excess returns. Stock 18 + 1.2 (ry - rp) 0.677 Index model regression estimates R-square Residual standard deviation, (e) Standard deviation of excess returns Stock B 28 +0.8(IN - rf) 0.487 20.88 28.30 126 23.38 a. Calculate the following statistics for each stock:...
Consider the two (excess return) index model regression results for A and B. RA = 1.2% + 1.5M R-square = 0.612 Residual standard deviation = 11.5% RB = -1.8% + 0.9RM R-square = 0.476 Residual standard deviation = 9.5% a. Which stock has more firm-specific risk? Stock A Stock B b. Which stock has greater market risk? Stock A Stock B c. For which stock does market movement has a greater fraction of return variability? Stock A Stock B d....
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...
#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...
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 marker's average return was 11%. Performance is measured using an index model regression on excess returns Index model regression estimates R-square Residual standard deviation, (e) Standard deviation of excess returns Stock A 1% + 1.2M - rf) 2.683 12.15 23.4% Stock 8 2% + 0.8( - rf) 2.49 20.93 28.5% 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:...
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