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Social Transmission Bias and Investor Behavior

Author

Listed:
  • Bing Han
  • David Hirshleifer
  • Johan Walden

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 over these characteristics. The model has strong predictions for how 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

  • Bing Han & David Hirshleifer & Johan Walden, 2018. "Social Transmission Bias and Investor Behavior," NBER Working Papers 24281, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:24281
    Note: AP
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    Cited by:

    1. Rasivisuth, Pornpanit & Fiaschetti, Maurizio & Medda, Francesca, 2024. "An investigation of sentiment analysis of information disclosure during Initial Coin Offering (ICO) on the token return," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    2. Pelster, Matthias, 2019. "Attracting attention from peers: Excitement in social trading," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 158-179.
    3. 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.
    4. Horn, Matthias & Schneider, Julian & Oehler, Andreas, 2024. "Do transactions on social trading platforms predict the stock market behavior of the aggregate private sector?," Finance Research Letters, Elsevier, vol. 66(C).
    5. Steiger, Sören & Pelster, Matthias, 2020. "Social interactions and asset pricing bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 503-522.
    6. 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.
    7. 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.
    8. 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.
    9. Kogan, Shimon & Makarov, Igor & Niessner, Marina & Schoar, Antoinette, 2024. "Are cryptos different? Evidence from retail trading," Journal of Financial Economics, Elsevier, vol. 159(C).
    10. 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.
    11. Wu, Yanran & Wu, Shan & Xu, Fujia & Jiang, Jie, 2024. "Wisdom of crowds or awkward squad? Social interaction and the information efficiency of the Chinese capital market," Research in International Business and Finance, Elsevier, vol. 71(C).
    12. Bui, Dien Giau & Chan, Yu-Ju & Lin, Chih-Yung & Lin, Tse-Chun, 2024. "Lottery jackpot winnings and retail trading in the neighborhood," Journal of Banking & Finance, Elsevier, vol. 167(C).

    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
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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