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Journal of Financial Economics Vol. 80 No. 3 2006

Who herds?

Dan Bernhardt1; Murillo Campello1; Edward Kutsoati2

1 University of Illinois Urbana-Champaign · 2 Tufts University

Abstract

This paper develops a test for herding in forecasts by professional financial analysts that is robust to (a) correlated information amongst analysts; (b) common unforecasted industry-wide earnings shocks; (c) information arrival over the forecasting cycle; (d) the possibility that the earnings that analysts forecast differ from what the econometrician observes; and (e) systematic optimism or pessimism among analysts. We find that forecasts are biased, but that analysts do not herd. Instead, analysts “anti-herd”: Analysts systematically issue biased contrarian forecasts that overshoot the publicly-available consensus forecast in the direction of their private information.

DOI
10.1016/j.jfineco.2005.07.006
Volume
80
Issue
3
Pages
657-675
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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