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# CAPM regression

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This needs to be done in Excel.

The CAPM states that the excess return on a stock is proportional to the excess return on the market. This implies:

X stock = beta*(X market)

Where X is the excess return = return- (return on risk free asset). One criticism of the CAPM regression we ran in class is that it excludes relevant variables. Some have argued that "surprise" factors impact excess return on stocks. You will explore this issue.

Choose two companies from the CAPM example we did in class. (CAPM - From Class.xls)

(1) Redo the CAPM regression

(2) The attached filed APM.xls contains data on POIL, FRBIND and CPI which are: price of oil, Federal Reserve Board Index of industrial production and Consumer price Index. Calculate the growth rate of these variables. For example:

Growth rate of CPI at t = (CPI at t-CPI at t-1)/CPI at t

Now calculate the "surprise" in these variables for each year. The surprise is calculated as growth rate minus sample mean

(3) Perform a regression of X stock on a constant, X market, and the three surprise variables.

##### Solution Summary

Regression Analysis-CAPM-is achieved step by step.

##### Solution Preview

(1) Redo the CAPM regression
<br>we pick up Coned and Delta for this question. As shown in the attached table, we have Xconed and Xciti and the regressions respectively. Because these two stocks both have significantly high t-value of the slope estimate.
<br>Then:
<br>Xdelta = 0.48*Xmkt , and
<br>Xciti = 0.67*Xmkt
<br>
<br>(2) The attached filed APM.xls contains data on POIL, FRBIND and CPI, which are: price of oil, Federal Reserve Board Index of industrial production and Consumer price Index. Calculate the growth rate of these variables. For example:
<br>Growth rate of CPI at t = (CPI at t-CPI at t-1)/CPI at t
<br>Now calculate the "surprise" in these variables for each year. The surprise is calculated as growth ...

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