Run an empirical CAPM regression to estimate beta for each company and report your estimates Run a
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Question:
Run an “empirical” CAPM regression to estimate beta for each company and report your estimates
- Run a market model regression to estimate beta for each company and report your estimates
- Compare the two estimates for each company and explain why they differ or not
- Which company has a higher beta? Why do you think this is the case? Briefly explain.
- Interpret the intercept parameter for each firm.
- Interpret the R2 from the CAPM regression for both firms
Note: You can find the The Beta estimation excel table below contains the following info:
Market risk premium and risk-free rate Monthly returns for two firms, Company X and Company Y. Monthly returns are
computed from monthly adjusted prices.
Market and risk-free (FF site) | Company X | Company Y | ||||||
Date | Mkt-RF | RF | Date | Adj Close | Return | Date | Adj Close | Return |
201605 | 5/1/2016 | 39,622,597 | 5/1/2016 | 722,789,978 | ||||
201606 | -0.05 | 0.02 | 6/1/2016 | 33,320,332 | -15.9057343 | 6/1/2016 | 715,619,995 | -0.9919871 |
201607 | 3.95 | 0.02 | 7/1/2016 | 35,442,291 | 6.368360915 | 7/1/2016 | 758,809,998 | 6.03532647 |
201608 | 0.5 | 0.02 | 8/1/2016 | 33,613,014 | -5.161283169 | 8/1/2016 | 769,159,973 | 1.36397452 |
201609 | 0.25 | 0.02 | 9/1/2016 | 36,198,021 | 7.690494521 | 9/1/2016 | 837,309,998 | 8.86031871 |
201610 | -2.02 | 0.02 | 10/1/2016 | 38,414,421 | 6.122986668 | 10/1/2016 | 789,820,007 | -5.6717334 |
201611 | 4.86 | 0.01 | 11/1/2016 | 44,309,471 | 15.34592959 | 11/1/2016 | 750,570,007 | -4.9694867 |
201612 | 1.82 | 0.03 | 12/1/2016 | 45,447,014 | 2.567268293 | 12/1/2016 | 749,869,995 | -0.0932641 |
201701 | 1.94 | 0.04 | 1/1/2017 | 43,645,393 | -3.96422304 | 1/1/2017 | 823,479,980 | 9.81636624 |
Related Book For
Statistics for Business and Economics
ISBN: 978-0132930192
8th edition
Authors: Paul Newbold, William Carlson, Betty Thorne
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