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Journal of Financial Economics Vol. 133 No. 1 2019

Decision fatigue and heuristic analyst forecasts

David Hirshleifer1; Yaron Levi2; Ben Lourie1; Siew Hong Teoh1

1 University of California, Irvine · 2 University of Southern California

Abstract

Psychological evidence indicates that decision quality declines after an extensive session of decision-making, a phenomenon known as decision fatigue. We study whether decision fatigue affects analysts’ judgments. Analysts cover multiple firms and often issue several forecasts in a single day. We find that forecast accuracy declines over the course of a day as the number of forecasts the analyst has already issued increases. Also consistent with decision fatigue, we find that the more forecasts an analyst issues, the higher the likelihood the analyst resorts to more heuristic decisions by herding more closely with the consensus forecast, self-herding (i.e., reissuing their own previous outstanding forecasts), and issuing a rounded forecast. Finally, we find that the stock market understands these effects and discounts for analyst decision fatigue.

DOI
10.1016/j.jfineco.2019.01.005
Volume
133
Issue
1
Pages
83-98
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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