Outline the general regression equation for a single index model
and, from this,
outline the expected return-beta relationship. Explain what is
meant by the Security
Characteristic Line, making reference to the alpha and beta
estimates.
The answer is as follows:
Outline the general regression equation for a single index model and, from this, outline the expected...
What is the Single Index Model equation? 1) How is it different from the CAPM equation? 2) What is one fundamental consequence of expressing returns with SIM rather than CAPM? 3) What are the sources of return in SIM? 4) Why was SIM developed in response to CAPM?
Question 1. Consider the single index model. Suppose an asset has a negative beta and an alpha of zero. Would it ever make sense for an investor to hold such an asset? Explain in a sentence or two why or why not. Question 2. In the efficient markets hypothesis, what does it mean in general for a financial market to be "efficient"? Explain. What does this sense of efficiency mean for future asset prices?
1) If the beta of the market index is 1.0 and the standard deviation of the market index increases from 12% to 18%, what is the beta of the market index following this increase? A. 0.8 B. 1.0 C. 1.2 D. 1.5 2) The security market line represents __________ A. the risk-return for all portfolios which can be constructed from the risk-free investment and the optimal risky portfolio B. the relationship between beta and expected return C. the relationship between...
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 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 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 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...
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:...
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...