Institutional Consensus After Earnings Announcements: Information or Crowding?

68 Pages Posted: 15 Apr 2020 Last revised: 23 May 2022

See all articles by Olga Klein

Olga Klein

University of Warwick - Warwick Business School

Daniel Klein

Klein Q-Fin Ltd.

Date Written: May 23, 2022

Abstract

This paper examines information processing skills of institutional investors after earnings releases. If institutions correctly process earnings signals, their trades should push the price towards the new fundamental value. However, if they mechanically follow a positive-feedback strategy, Stein (2009) predicts that their crowding can lead to price overreaction. Splitting institutions by their investment horizon, we find that institutions with longer-term horizons are better at processing earnings signals, whereas crowding by shorter-term transient institutions can have destabilizing effects on stock prices. Overall, we reconcile previously mixed empirical evidence of institutional trading on price efficiency by conditioning on the length of the investment horizon.

Keywords: Institutional Consensus, Information Processing, Price Efficiency, Crowded Trading, Earnings Announcement

JEL Classification: G10, G14, G20

Suggested Citation

Klein, Olga and Klein, Daniel, Institutional Consensus After Earnings Announcements: Information or Crowding? (May 23, 2022). Available at SSRN: https://ssrn.com/abstract=3561637 or http://dx.doi.org/10.2139/ssrn.3561637

Olga Klein (Contact Author)

University of Warwick - Warwick Business School ( email )

Coventry CV4 7AL
United Kingdom

Daniel Klein

Klein Q-Fin Ltd. ( email )

Reading
Great Britain

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