Assume you gathered the historical weekly excess returns for IBM and for a S&P 500 portfolio using data over the last 2 years and plotted them as shown in the scatter plot below. Assume the trend line shown on the plot is from a CAPM motivated regression of the IBM excess returns on the market excess returns. Question: Which of the statements below best describes how the beta and alpha regression coefficients would be related to the figure? Excess returns on IBM 0.10 0.00 -0.10 -0.20 O -0.2 0 CAPM regression for IBM 0 9 O -0.1 0.0 Excess returns on MARKET 80 8 0.1 O The beta is the slope of the regression trend line. The alpha is the intercept of the line. O The alpha is the slope of the regression trend line. The beta is the intercept of the line. O The beta is proportion of variation in the Y-axis variable explained by the model. O Beta is the measure of total risk.

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Assume you gathered the historical weekly excess returns for IBM and for a S&P 500 portfolio
using data over the last 2 years and plotted them as shown in the scatter plot below. Assume the
trend line shown on the plot is from a CAPM motivated regression of the IBM excess returns on
the market excess returns.
Question: Which of the statements below best describes how the beta and alpha regression
coefficients would be related to the figure?
Excess returns on IBM
0.10
0.00
-0.10
-0.20
0
O
-0.2
0
CAPM regression for IBM
0
O
e
-0.1
0
°
ob
9.0
0
O
0.0
Excess returns on MARKET
20
8
0
0.1
O
O The beta is the slope of the regression trend line. The alpha is the intercept of the line.
O The alpha is the slope of the regression trend line. The beta is the intercept of the line.
O The beta is proportion of variation in the Y-axis variable explained by the model.
O Beta is the measure of total risk.
Transcribed Image Text:Assume you gathered the historical weekly excess returns for IBM and for a S&P 500 portfolio using data over the last 2 years and plotted them as shown in the scatter plot below. Assume the trend line shown on the plot is from a CAPM motivated regression of the IBM excess returns on the market excess returns. Question: Which of the statements below best describes how the beta and alpha regression coefficients would be related to the figure? Excess returns on IBM 0.10 0.00 -0.10 -0.20 0 O -0.2 0 CAPM regression for IBM 0 O e -0.1 0 ° ob 9.0 0 O 0.0 Excess returns on MARKET 20 8 0 0.1 O O The beta is the slope of the regression trend line. The alpha is the intercept of the line. O The alpha is the slope of the regression trend line. The beta is the intercept of the line. O The beta is proportion of variation in the Y-axis variable explained by the model. O Beta is the measure of total risk.
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