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Social Transmission Bias and Investor Behavior

Author

Listed:
  • Han, Bing
  • Hirshleifer, David
  • Walden, Johan

Abstract

We offer a new social approach to investment decision making and asset prices. Investors discuss their strategies and convert others to their strategies with a probability that increases in investment returns. The conversion rate is shown to be convex in realized returns. Unconditionally, active strategies (e.g., high variance and skewness) dominate, although investors have no inherent preference for these characteristics. The model has strong predictions for how the adoption of active strategies depends on investors’ social networks. In contrast with nonsocial approaches, sociability, self-enhancing transmission, and other features of the communication process determine the popularity and pricing of active investment strategies.

Suggested Citation

  • Han, Bing & Hirshleifer, David & Walden, Johan, 2022. "Social Transmission Bias and Investor Behavior," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 57(1), pages 390-412, February.
    • Handle: RePEc:cup:jfinqa:v:57:y:2022:i:1:p:390-412_12
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    Citations

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    Cited by:

    1. Knüpfer, Samuli & Rantapuska, Elias & Sarvimäki, Matti, 2017. "Why does portfolio choice correlate across generations?," Bank of Finland Research Discussion Papers 25/2017, Bank of Finland.
    2. Bing Han & David Hirshleifer & Johan Walden, 2023. "Visibility Bias in the Transmission of Consumption Beliefs and Undersaving," Journal of Finance, American Finance Association, vol. 78(3), pages 1647-1704, June.
    3. Pelster, Matthias, 2019. "Attracting attention from peers: Excitement in social trading," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 158-179.
    4. Leilei Gu & Jinyu Liu & Yuchao Peng, 2022. "Locality Stereotype, CEO Trustworthiness and Stock Price Crash Risk: Evidence from China," Journal of Business Ethics, Springer, vol. 175(4), pages 773-797, February.
    5. Atilgan, Yigit & Bali, Turan G. & Demirtas, K. Ozgur & Gunaydin, A. Doruk, 2020. "Left-tail momentum: Underreaction to bad news, costly arbitrage and equity returns," Journal of Financial Economics, Elsevier, vol. 135(3), pages 725-753.
    6. Steiger, Sören & Pelster, Matthias, 2020. "Social interactions and asset pricing bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 503-522.
    7. Jin, Xuejun & Zhu, Yu & Huang, Ying Sophie, 2019. "Losing by learning? A study of social trading platform," Finance Research Letters, Elsevier, vol. 28(C), pages 171-179.

    More about this item

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G4 - Financial Economics - - Behavioral Finance
    • G4 - Financial Economics - - Behavioral Finance

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