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학술논문회계학연구2015.04 발행KCI 피인용 2

Does PEAD Increase with Event-Specific Information Uncertainty?

Does PEAD Increase with Event-Specific Information Uncertainty?

이준호(Singapore Management University); Michael Clement(University of Texas at Austin); Robert Freeman(University of Texas at Austin)

40권 2호, 151~188쪽

초록

We examine the empirical relation between event-specific information uncertainty and post-earnings-announcement-drift (PEAD). Since PEAD is largely attributed to delayed price reactions to the implications of announced earnings for future earnings, our primary thesis is that PEAD is associated with the uncertainty facing investors when they interpret earnings announcements. Accordingly, we examine the relation between PEAD and three proxies for event-specific uncertainty: pre-announcement to post-announcement change in dispersion of future earnings forecasts, the interval between earnings announcement and post-announcement forecast revisions, and the number of post-announcement forecast revisions. We argue that these three characteristics of analysts’ forecasts capture the uncertainty analysts face as they consider the implications of announced earnings for future earnings. For each proxy, we find that PEAD increases with signal uncertainty. In sum, our results indicate that drift in post-signal prices is less prevalent when analysts quickly agree on the implications of the signal for future earnings.

Abstract

We examine the empirical relation between event-specific information uncertainty and post-earnings-announcement-drift (PEAD). Since PEAD is largely attributed to delayed price reactions to the implications of announced earnings for future earnings, our primary thesis is that PEAD is associated with the uncertainty facing investors when they interpret earnings announcements. Accordingly, we examine the relation between PEAD and three proxies for event-specific uncertainty: pre-announcement to post-announcement change in dispersion of future earnings forecasts, the interval between earnings announcement and post-announcement forecast revisions, and the number of post-announcement forecast revisions. We argue that these three characteristics of analysts’ forecasts capture the uncertainty analysts face as they consider the implications of announced earnings for future earnings. For each proxy, we find that PEAD increases with signal uncertainty. In sum, our results indicate that drift in post-signal prices is less prevalent when analysts quickly agree on the implications of the signal for future earnings.

발행기관:
한국회계학회
분류:
회계학

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Does PEAD Increase with Event-Specific Information Uncertainty? | 회계학연구 2015 | AskLaw | 애스크로 AI