Misforecasting Earnings: Management Expectations and Capital Market Anomalies

73 Pages Posted: 19 Aug 2021 Last revised: 6 Aug 2023

See all articles by Shikha Jaiswal

Shikha Jaiswal

UNSW Business School

Cong (Roman) Wang

Texas Tech University, Rawls College of Business

Dexin Zhou

City University of New York, Baruch College - Zicklin School of Business - Department of Economics and Finance

Date Written: July 21, 2023

Abstract

Management earnings forecasts are more pessimistic for stocks with higher predicted returns based on anomaly signals, suggesting anomaly captures biases in managers' forecasts. These biases in management forecasts are more severe than those in analyst forecasts. These findings are stronger for overconfident managers, long-term forecasts, and during high sentiment periods, consistent with behavioral issues driving such biases. The results are not affected by the subsequent insider or firm trading, indicating that strategic reporting is unlikely to drive these biases. Finally, biased management forecasts amplify and prolong anomaly returns, consistent with exacerbated errors in investor expectations of future cash flow.

Keywords: Management Expectation, Market Efficiency, Anomalies

JEL Classification: G12, G4

Suggested Citation

Jaiswal, Shikha and Wang, Cong (Roman) and Zhou, Dexin, Misforecasting Earnings: Management Expectations and Capital Market Anomalies (July 21, 2023). Available at SSRN: https://ssrn.com/abstract=3907024 or http://dx.doi.org/10.2139/ssrn.3907024

Shikha Jaiswal

UNSW Business School ( email )

Sydney, NSW 2052
Australia

Cong (Roman) Wang

Texas Tech University, Rawls College of Business ( email )

2500 Broadway
Lubbock, TX 79409
United States

Dexin Zhou (Contact Author)

City University of New York, Baruch College - Zicklin School of Business - Department of Economics and Finance ( email )

55 Lexington Avenue
New York, NY 10010
United States

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