An index model regression applied to past monthly returns in Ford’s stock price produces the following estimates, which are believed to be stable over time: rF = 0.1% + 1.1rM If the market index subsequently rises by 7.2% and Ford’s stock price rises by 7%, what is the abnormal change in Ford’s stock price? (Negative value should be indicated by a minus sign. Do not round intermediate calculations. Round your answer to 2 decimal places.)
05 i Saved An index model regression applied to past monthly returns in Ford's stock price produces the following estimates, which are believed to be stable over time: F = 0.1% + 1.17M If the market index subsequently rises by 9.2% and Ford's stock price rises by 9%, what is the abnormal change in Ford's stock price? (Negative value should be indicated by a minus sign. Do not round intermediate calculations. Round your answer to 2 decimal places.) Abnormal reutrn
An index model regression applied to past monthly returns in Ford's stock price produces the following estimates, which are believed to be stable over time: rf = 0.10% + 1.1rm If the market index subsequently rises by 8% and Ford's stock price rises by 7%, what is the abnormal change in Ford's stock price? (Negative value should be indicated by a minus sign. Do not round intermediate calculations. Round your answer to 1 decimal place.) Abnormal returnIn a recent closely...
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...
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 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 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 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 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...
#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...