Abstract:
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.
JEL-codes:C1C2C3C4C5C8 (search for similar items in EconPapers) Date: 1993-07-28 Note: LaTeX document 35 pages (some LaTeX's do not like bold math) View list of references