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Overreaction in Expectations: Evidence and Theory

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  • Hassan Afrouzi
  • Spencer Y Kwon
  • Augustin Landier
  • Yueran Ma
  • David Thesmar

Abstract

We investigate biases in expectations across different settings through a large-scale randomized experiment where participants forecast stable stochastic processes. The experiment allows us to control forecasters’ information sets as well as the data-generating process, so we can cleanly measure biases in beliefs. We report three facts. First, forecasts display significant overreaction to the most recent observation. Second, overreaction is stronger for less persistent processes. Third, overreaction is also stronger for longer forecast horizons. We develop a tractable model of expectations formation with costly processing of past information, which closely fits the empirical facts. We also perform additional experiments to test the mechanism of the model.

Suggested Citation

  • Hassan Afrouzi & Spencer Y Kwon & Augustin Landier & Yueran Ma & David Thesmar, 2023. "Overreaction in Expectations: Evidence and Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(3), pages 1713-1764.
  • Handle: RePEc:oup:qjecon:v:138:y:2023:i:3:p:1713-1764.
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    File URL: http://hdl.handle.net/10.1093/qje/qjad009
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    Cited by:

    1. Charles, Constantin & Frydman, Cary & Kilic, Mete, 2023. "Insensitive Investors," LSE Research Online Documents on Economics 120788, London School of Economics and Political Science, LSE Library.
    2. Yves Breitmoser & Justin Valasek & Justin Mattias Valasek, 2023. "Why Do Committees Work?," CESifo Working Paper Series 10800, CESifo.
    3. Breitmoser, Yves & Valasek, Justin, 2023. "Why do committees work?," Discussion Paper Series in Economics 18/2023, Norwegian School of Economics, Department of Economics.
    4. Leland Bybee, 2023. "Surveying Generative AI's Economic Expectations," Papers 2305.02823, arXiv.org, revised May 2023.

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