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Return Predictability, Expectations, and Investment: Experimental Evidence

Author

Listed:
  • Marianne Andries

    (USC - University of Southern California)

  • Milo Bianchi

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Karen Huynh

    (AMUNDI Asset Management)

  • Sébastien Pouget

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

In an investment experiment, we show variations in information affect belief and decision behaviors within the information-beliefs-decisions chain. Subjects observe the time series of a risky asset and a signal that, in random rounds, helps predict returns. When they perceive the signal as useless, subjects form extrapolative forecasts, and their investment decisions underreact to their beliefs. When they perceive the signal as predictive, the same subjects rationally use it in their forecasts, they no longer extrapolate, and they rely significantly more on their forecasts when making risk allocations. Analyzing investments without observing forecasts and information sets leads to erroneous interpretations.

Suggested Citation

  • Marianne Andries & Milo Bianchi & Karen Huynh & Sébastien Pouget, 2024. "Return Predictability, Expectations, and Investment: Experimental Evidence," Post-Print hal-04680777, HAL.
  • Handle: RePEc:hal:journl:hal-04680777
    Note: View the original document on HAL open archive server: https://hal.science/hal-04680777
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    References listed on IDEAS

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