Overreaction in Expectations: Evidence and Theory

Hassan Afrouzi; Spencer Y. Kwon; Augustin Landier; Yueran Ma; David Thesmar

doi:10.1093/qje/qjad009

Quarterly Journal of Economics Vol. 138 No. 3 2023

Overreaction in Expectations: Evidence and Theory

Hassan Afrouzi¹; Spencer Y. Kwon²; Augustin Landier³; Yueran Ma ⁴; David Thesmar⁵

¹ Columbia Universitiy , United States · ² Harvard University, United States · ³ HEC Paris , France · ⁴ University of Chicago Booth School of Business , United States · ⁵ MIT Sloan School of Management , United States

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.

DOI: 10.1093/qje/qjad009
Volume: 138
Issue: 3
Pages: 1713-1764
Language: en
Sources: bibtex:phds-export.bib openalex crossref

Overreaction in Expectations: Evidence and Theory

Abstract

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