The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Driven to Distraction: Extraneous Events and Underreaction to Earnings News
Open accessAbstract
Recent studies propose that limited investor attention causes market underreactions. This paper directly tests this explanation by measuring the information load faced by investors. The investor distraction hypothesis holds that extraneous news inhibits market reactions to relevant news. We find that the immediate price and volume reaction to a firm's earnings surprise is much weaker, and post‐announcement drift much stronger, when a greater number of same‐day earnings announcements are made by other firms. We evaluate the economic importance of distraction effects through a trading strategy, which yields substantial alphas. Industry‐unrelated news and large earnings surprises have a stronger distracting effect.
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Investors tend to pay more attention to bad news than good news.
“Investors tend to pay more attention to bad news than good news, which is supported by Wall Street adage that 'markets take the stairs up and the elevator down' and by index option trading where fund managers focus on hedging downside risk (e.g., Chen, Joslin, and Ni, 2019).”
From ChatGPT and Deepseek: Can They Predict the Stock Market and Macroeconomy? (2025) · cites this paper as Hirshleifer, Lim, and Teoh, 2009
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Lopez-Lira, A., & Tang, Y. (2026) · Journal of Financial Economics · doi:10.1016/j.jfineco.2026.104335 · Cited by 425
Decision fatigue and heuristic analyst forecasts
Hirshleifer, D., Levi, Y., Lourie, B., & Teoh, S. H. (2019) · Journal of Financial Economics · doi:10.1016/j.jfineco.2019.01.005 · Cited by 248
Self-citationESG Preference, Institutional Trading, and Stock Return Patterns
Cao, J., Titman, S., Zhan, X., & Zhang, W. (2023) · Journal of Financial and Quantitative Analysis · doi:10.1017/s0022109022000916 · Cited by 178
ChatGPT and Deepseek: Can They Predict the Stock Market and Macroeconomy?
Chen, J., Tang, G., Zhou, G., & Zhu, W. (2025) · arXiv · doi:10.48550/arxiv.2502.10008 · Cited by 6
Metadata
- Authors
- HIRSHLEIFER, D., LIM, S. S., & TEOH, S. H.
- Affiliations
- DePaul University (US)
- University of California, Irvine (US)
- Venue
- The Journal of Finance
- Publisher
- Wiley
- Published
- 2009-09-28
- Volume
- 64
- Issue
- 5
- Pages
- 2289-2325
- ISSN
- 0022-1082 (ISSN-L)
- 1540-6261
- OpenAlex
- W3122186295
- Cited by
- 1,542
- References
- 3
- Citations by year
- 2026: 122 · 2025: 160 · 2024: 152 · 2023: 124 · 2022: 111 · 2021: 116 · 2020: 106 · 2019: 87 · 2018: 95 · 2017: 85 · 2016: 69 · 2015: 63 · 2014: 78 · 2013: 52 · 2012: 48
- FWCI
- 63.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Journal of Finance (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Markets and Investment Strategies
- Social Sciences › Business, Management and Accounting › Accounting › Financial Analysis and Corporate Governance
- Social Sciences › Economics, Econometrics and Finance › Finance › Corporate Finance and Governance
- Keywords
- market underreaction, earnings announcements, earnings surprises, post-announcement drift, information overload, trading strategies
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