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

Citation
J. Jacob et al., Autocorrelation structure of forecast errors from time-series models: Alternative assessments of the causes of post-earnings announcement drift, J ACCOUNT E, 28(3), 1999, pp. 329-358
Citations number
22
Categorie Soggetti
Economics
Journal title
JOURNAL OF ACCOUNTING & ECONOMICS
ISSN journal
01654101 → ACNP
Volume
28
Issue
3
Year of publication
1999
Pages
329 - 358
Database
ISI
SICI code
0165-4101(199912)28:3<329:ASOFEF>2.0.ZU;2-W
Abstract
This paper demonstrates that the evidence supporting the hypothesis that po st-earnings announcement drift (PEAD) is caused by investors' Failure to in corporate 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 surpri ses is most likely to have occurred. Given the persistence of the PEAD over time, our alternative explanation suggests that the prior research investi gating the causes for the PEAD overestimates investors' naivete. (C) 2000 E lsevier Science B.V. All rights reserved. JEL classification: G14; M41.