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Journal of Financial Economics Vol. 14 No. 1 1985

Using daily stock returns

Stephen J. Brown1,2; Jerold B. Warner1,2

1 Yale University · 2 University of Rochester

Abstract

This paper examines properties of daily stock returns and how the particular characteristics of these data affect event study methodologies. Daily data generally present few difficulties for event studies. Standard procedures are typically well-specified even when special daily data characteristics are ignored. However, recognition of autocorrelation in daily excess returns and changes in their variance conditional on an event can sometimes be advantageous. In addition, tests ignoring cross-sectional dependence can be well-specified and have higher power than tests which account for potential dependence.

DOI
10.1016/0304-405x(85)90042-x
Volume
14
Issue
1
Pages
3-31
Language
en
Sources
crossref bibtex:phds-export.bib openalex

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