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Disagreement in economic forecasts and equity returns: risk or mispricing?

Turan G. Bali (McDonough School of Business, Georgetown University, Washington, District of Columbia, USA)
Stephen J. Brown (Monash Business School, Melbourne, Australia)
Yi Tang (Gabelli School of Business, Fordham University, New York, New York, USA)

China Finance Review International

ISSN: 2044-1398

Article publication date: 5 August 2022

Issue publication date: 9 August 2023

1998

Abstract

Purpose

This paper investigates the role of economic disagreement in the cross-sectional pricing of individual stocks. Economic disagreement is quantified with ex ante measures of cross-sectional dispersion in economic forecasts from the Survey of Professional Forecasters (SPF), determining the degree of disagreement among professional forecasters over changes in economic fundamentals.

Design/methodology/approach

The authors introduce a broad index of economic disagreement based on the innovations in the cross-sectional dispersion of economic forecasts for output, inflation and unemployment so that the index is a shock measure that captures different aspects of disagreement over economic fundamentals and also reflects unexpected news or surprise about the state of the aggregate economy. After building the broad index of economic disagreement, the authors test out-of-sample performance of the index in predicting the cross-sectional variation in future stock returns.

Findings

Univariate portfolio analyses indicate that decile portfolios that are long in stocks with the lowest disagreement beta and short in stocks with the highest disagreement beta yield a risk-adjusted annual return of 7.2%. The results remain robust after controlling for well-known pricing effects. The results are consistent with a preference-based explanation that ambiguity-averse investors demand extra compensation to hold stocks with high disagreement risk and the investors are willing to pay high prices for stocks with large hedging benefits. The results also support the mispricing hypothesis that the high disagreement beta provides an indirect way to measure dispersed opinion and overpricing.

Originality/value

Most literature measures disagreement about individual stocks with the standard deviation of earnings forecasts made by financial analysts and examines the cross-sectional relation between this measure and individual stock returns. Unlike prior studies, the authors focus on disagreement about the economy instead of disagreement about earnings growth. The authors' argument is that disagreement about the economy is a major factor that would explain disagreement about stock fundamentals. The authors find that disagreement in economic forecasts does indeed have a significant impact on the cross-sectional pricing of individual stocks.

Keywords

Acknowledgements

The authors thank two anonymous referees, Thomas Chiang (the editor), John Campbell and Chris Jones for the extremely helpful comments and suggestions. The authors also benefited from discussions with Reena Aggarwal, Jennie Bai, Ozgur Demirtas, Jean Helwege, Mihai Ion, Lee Pinkowitz, Quan Wen, Rohan Williamson, An Yan, Kamil Yilmaz, and seminar participants at Fordham University, Georgetown University, and Koc University. A previous version of this paper was circulated under the title “Cross-Sectional Dispersion in Economic Forecasts and Expected Stock Returns.”

Citation

Bali, T.G., Brown, S.J. and Tang, Y. (2023), "Disagreement in economic forecasts and equity returns: risk or mispricing?", China Finance Review International, Vol. 13 No. 3, pp. 309-341. https://doi.org/10.1108/CFRI-05-2022-0075

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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