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Journal of Financial Economics Vol. 141 No. 2 2021

Pervasive underreaction: Evidence from high-frequency data

Hao Jiang1; Sophia Zhengzi Li2; Hao Wang3

1 Michigan State University · 2 Rutgers, The State University of New Jersey · 3 Prime Quantitative Research LLC, Millburn, NJ 07041, USA

Abstract

We propose a novel high-frequency decomposition of daily stock returns into news- and non-news-driven components, and uncover evidence of pervasive stock market underreaction to firm news. Prices tend to drift in the same direction as the initial market response for several days after the news arrival without reversals. A trading strategy exploiting the return drift generates high abnormal returns and remains profitable after transaction costs. To understand the economic mechanism, we find that the return drift is stronger when investors are distracted. Analysts’ slow adjustments of market expectations following firm news also contribute to the market underreaction.

DOI
10.1016/j.jfineco.2021.04.003
Volume
141
Issue
2
Pages
573-599
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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