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Tech-Enabled Financial Data Access, Retail Investors, and Gambling-Like Behavior in the Stock Market

Author

Listed:
  • Taha Havakhor

    (McGill University, Montreal, Quebec H3A 0G4, Canada)

  • Mohammad Saifur Rahman

    (Purdue University, West Lafayette, Indiana 47907)

  • Tianjian Zhang

    (California State University, Dominguez Hills, Carson, California 90747)

  • Chenqi Zhu

    (University of California, Irvine, Irvine, California 92697)

Abstract

Advancements in technology have reduced information acquisition costs, creating an improved information environment for retail investors. Specifically, new technologies, such as application programming interface (API), deliver high-volume, institutional-like raw data directly to Main Street investors. Although greater availability of information can be beneficial, it may also exacerbate retail investors’ existing trading deficiencies. Exploiting the sudden shutdown of Yahoo! Finance API, the largest free API for retail investors, this study examines how access to tech-enabled raw financial data affects retail investment. We find that retail trading volumes in stocks favored by active retail investors dropped by 8.6%–10.5% within one month of the API shutdown. The remaining retail trades collectively became more predictive of future returns, suggesting less gambling-like behavior after the API shutdown. Moreover, our randomized controlled experiment affirms the underlying mechanism: tech-enabled access to high-volume historical price data increases individuals’ overconfidence, which further leads them to engage in excessive trading. The study reveals an unintended consequence of technology-led, wider data access for retail investors.

Suggested Citation

  • Taha Havakhor & Mohammad Saifur Rahman & Tianjian Zhang & Chenqi Zhu, 2025. "Tech-Enabled Financial Data Access, Retail Investors, and Gambling-Like Behavior in the Stock Market," Management Science, INFORMS, vol. 71(2), pages 1646-1670, February.
    • Handle: RePEc:inm:ormnsc:v:71:y:2025:i:2:p:1646-1670
    DOI: 10.1287/mnsc.2021.01379
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