Number Processing Constraints and Earnings News

Stephen Karolyi, Thomas Ruchti, Phong Truong

Research output: Contribution to journalArticlepeer-review

Abstract

Neuroscience shows that human brains are neurologically constrained to process small numbers linearly and large numbers logarithmically, leading to underreactions to larger numbers as their perceived difference becomes smaller. We test this hypothesis in the context of earnings announcements and find that investors respond less in the short term to earnings news for stocks with high earnings per share magnitudes, exacerbating postearnings announcement drift for these stocks. These findings are distinct from and incremental to several risk-based and behavioral explanations, attenuated by robot presence and present in a quasi-experimental design using stock splits. Our evidence suggests that number processing constraints have implications for stock price efficiency.

Original languageEnglish (US)
Pages (from-to)2413-2442
Number of pages30
JournalManagement Science
Volume71
Issue number3
DOIs
StatePublished - Mar 2025

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research

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