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Information Characteristics and Errors in Expectations: Experimental Evidence

Author

Listed:
  • Antoniou, Constantinos
  • Harrison, Glenn W.
  • Lau, Morten I.
  • Read, Daniel

Abstract

We design an experiment to test the hypothesis that, in violation of Bayes’ rule, some people respond more forcefully to the strength of information than to its weight. We provide incentives to motivate effort, use naturally occurring information, and control for risk attitude. We find that the strength–weight bias affects expectations but that its magnitude is significantly lower than originally reported. Controls for nonlinear utility further reduce the bias. Our results suggest that incentive compatibility and controls for risk attitude considerably affect inferences on errors in expectations.

Suggested Citation

  • Antoniou, Constantinos & Harrison, Glenn W. & Lau, Morten I. & Read, Daniel, 2017. "Information Characteristics and Errors in Expectations: Experimental Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(2), pages 737-750, April.
    • Handle: RePEc:cup:jfinqa:v:52:y:2017:i:02:p:737-750_00
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    Cited by:

    1. Baars, Maren & Mohrschladt, Hannes, 2021. "An alternative behavioral explanation for the MAX effect," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 868-886.
    2. Mohrschladt, Hannes & Langer, Thomas, 2020. "Biased information weight processing in stock markets," Journal of Empirical Finance, Elsevier, vol. 57(C), pages 89-106.
    3. Harrison, Glenn W. & Martínez-Correa, Jimmy & Swarthout, J. Todd & Ulm, Eric R., 2017. "Scoring rules for subjective probability distributions," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 430-448.
    4. Ambuehl, Sandro & Li, Shengwu, 2018. "Belief updating and the demand for information," Games and Economic Behavior, Elsevier, vol. 109(C), pages 21-39.
    5. Hong, Ziyang & Liu, Qingfu & Tse, Yiuman & Wang, Zilu, 2023. "Black mouth, investor attention, and stock return," International Review of Financial Analysis, Elsevier, vol. 90(C).
    6. Flores-Szwagrzak, Karol, 2022. "Learning by Convex Combination," Working Papers 16-2022, Copenhagen Business School, Department of Economics.

    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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