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

Author

Listed:
  • Turan G. Bali
  • Stephen J. Brown
  • Yi Tang

Abstract

Purpose - This paper investigates the role of economic disagreement in the cross-sectional pricing of individual stocks. Economic disagreement is quantified withex antemeasures 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.

Suggested Citation

  • Turan G. Bali & Stephen J. Brown & Yi Tang, 2022. "Disagreement in economic forecasts and equity returns: risk or mispricing?," China Finance Review International, Emerald Group Publishing Limited, vol. 13(3), pages 309-341, August.
  • Handle: RePEc:eme:cfripp:cfri-05-2022-0075
    DOI: 10.1108/CFRI-05-2022-0075
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    Citations

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    Cited by:

    1. Zhang, Yaojie & He, Mengxi & Liao, Cunfei & Wang, Yudong, 2023. "Climate risk exposure and the cross-section of Chinese stock returns," Finance Research Letters, Elsevier, vol. 55(PB).

    More about this item

    Keywords

    Dispersion in economic forecasts; Mispricing; Disagreement risk; Cross-section of stock returns; Return predictability; G11; G12; C13; E20; E30;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

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