← Search

Journal of Accounting and Economics Vol. 28 No. 3 1999

Autocorrelation structure of forecast errors from time-series models: Alternative assessments of the causes of post-earnings announcement drift

John Jacob1; Thomas Lys2; Jowell Sabino3

1 University of Colorado Denver · 2 Northwestern University · 3 Massachusetts Institute of Technology

Abstract

This paper demonstrates that the evidence supporting the hypothesis that post-earnings announcement drift (PEAD) is caused by investors’ failure to incorporate the implications of current earnings for future earnings is (also) consistent with researchers’ over-differencing an already stationary time-series. Specifically, we show the evidence is driven by a subset of firms where over-differencing of quarterly earnings in estimating earnings surprises is most likely to have occurred. Given the persistence of the PEAD over time, our alternative explanation suggests that the prior research investigating the causes for the PEAD overestimates investors’ naivete.

DOI
10.1016/s0165-4101(00)00006-9
Volume
28
Issue
3
Pages
329-358
Language
en
Sources
bibtex:phds-export.bib openalex crossref

Cite