Decomposing abnormal returns in stochastic linear models
This paper presents a method helpful in analyzing the sources of return in an event study. A generalized decomposition result derived from the differential between two random linear functions attributes the effect of events or regulations on the value of firms to differences in economy-wide and individualistic factors. In aggregate decomposition, the abnormal return in the existing literature is equivalent to the coefficient effects. As an example, I take the market model in Card and Krueger (1995) showing that this approach helps provide additional insights.
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- Ben Jann, 2005. "Standard Errors for the Blinder-Oaxaca Decomposition," German Stata Users' Group Meetings 2005 03, Stata Users Group.
- Daniel A. Powers & Hirotoshi Yoshioka & Myeong-Su Yun, 2011. "mvdcmp: Multivariate decomposition for nonlinear response models," Stata Journal, StataCorp LP, vol. 11(4), pages 556-576, December.
- Yun, Myeong-Su, 2004.
"Decomposing differences in the first moment,"
Elsevier, vol. 82(2), pages 275-280, February.
- Gerald G. Brown & Herbert C. Rutemiller, 1977. "Means and Variances of Stochastic Vector Products with Applications to Random Linear Models," Management Science, INFORMS, vol. 24(2), pages 210-216, October.
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