Overreaction in Expectations: Evidence and Theory

Hassan Afrouzi, Spencer Yongwook Kwon, Augustin Landier, Yueran Ma and David Thesmar
Additional contact information
Spencer Yongwook Kwon: Harvard University
Yueran Ma: Booth School of Business [Chicago] - University of Chicago
David Thesmar: MIT - Massachusetts Institute of Technology

Working Papers from HAL

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 find that forecasts display significant overreaction to the most recent observation. Moreover, overreaction is especially pronounced for less persistent processes and longer forecast horizons. We also find that commonly-used expectations models do not easily account for these variations in the degree of overreaction across different settings. To explain the observed patterns of overreaction, we develop a tractable model of expectations formation with costly information processing. Our model closely fits the empirical findings and generates additional predictions that we confirm in the data.

Keywords: expectations; experiment; overreaction (search for similar items in EconPapers)
Date: 2020-11-11
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Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Overreaction in Expectations: Evidence and Theory (2023)
Working Paper: Overreaction in Expectations: Evidence and Theory (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-03885149

DOI: 10.2139/ssrn.3709548

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