A Simulation Investigation of Firm-Specific Equation Models as Used in Accounting Information Event Studies
Researchers studying stock price reactions to accounting information releases can choose among several statistical methods/models. We investigate the empirical distribution of common statistics used in SUR and OLS estimation via monte-carlo methods on daily stock return data. We find that the SUR statistics over reject the null hypothesis far too often and in fact the commonly used SAS F-statistic rejects the null more often than other related statistics. We give some indication of the amount of correction needed and also the corrected power statistics.
|Date of creation:||28 Jul 1993|
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|Note:||LaTeX document 35 pages (some LaTeX's do not like bold math)|
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- Malatesta, Paul H., 1986. "Measuring Abnormal Performance: The Event Parameter Approach Using Joint Generalized Least Squares," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(01), pages 27-38, March.
- McDonald, Bill, 1987. "Event Studies and Systems Methods: Some Additional Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(04), pages 495-504, December.
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