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Journal of Financial Economics Vol. 22 No. 1 1988

Investigating security-price performance in the presence of event-date uncertainty

Clifford A. Ball1; Walter N. Torous2

1 University of Michigan–Ann Arbor · 2 University of California, Los Angeles

open access

Abstract

This paper introduces an event-study method that incorporates the possibility of a random event date. Consistent with empirical evidence, we assume an event may affect not only the conditional mean of a security's return, but also its conditional variance. We compare the statistical power and efficiency of our maximum-likelihood method with the standard application of traditional event-study methods to multiday security returns. Assuming a two-day event period, our empirical results provide evidence that the multiday approach is robust. We use our maximum-likelihood method to investigate the valuation effects of stock splits and stock dividends.

DOI
10.1016/0304-405x(88)90025-6
Volume
22
Issue
1
Pages
123-153
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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