Publication Type
Journal Article
Version
submittedVersion
Publication Date
6-2025
Abstract
Local-thinking bias, wherein agents overweight information that comes readily to mind, is a prominent finding in cognitive psychology. In this study, we investigate local-thinking bias in the context of sell-side analysts and measure each analyst’s “local” information as news stemming from their individual coverage portfolio. Tests examining multiple analysts forecasting on the same focal firm at the same time find that individual analysts overweight idiosyncratic local news and underweight news from economically linked firms that are not in their coverage portfolios. Market prices track the analyst bias from local news, leading to predictable and economically significant return reversal patterns in the future. A trading strategy that adjusts for analysts’ biases earns meaningful abnormal returns. We discuss the implications of these findings for three literatures: (a) cognitive psychology, (b) analyst behavior, and (c) behavioral asset pricing.
Keywords
overreactions, cognitive biases, analyst forecasts, stock pricing
Discipline
Accounting
Research Areas
Corporate Reporting and Disclosure
Publication
The Accounting Review
First Page
1
Last Page
60
ISSN
0001-4826
Identifier
10.2139/ssrn.4875211
Publisher
American Accounting Association
Citation
DEHAAN, Ed; LEE, Charles M. C.; and LOH, Wei Ting.
Local-thinking bias. (2025). The Accounting Review. 1-60.
Available at: https://ink.library.smu.edu.sg/soa_research/2095
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.2139/ssrn.4875211