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Attention, Social Interaction, and Investor Attraction to Lottery Stocks

Author

Listed:
  • Turan G. Bali
  • David Hirshleifer
  • Lin Peng
  • Yi Tang

Abstract

We find that among stocks dominated by retail investors, the lottery anomaly is amplified by high investor attention (proxied by high analyst coverage, salient earnings surprises, or recency of extreme positive returns) and intense social interactions (proxied by Facebook social connectedness or population density near firm headquarters). Such stocks’ lottery features attract greater Google search volume and retail net buying, followed by more negative earnings surprises and lower announcement-period returns. The findings provide insight into the roles of attention and social interaction in securities markets, and support the hypothesis that these forces contribute to investor attraction to lottery stocks.

Suggested Citation

  • Turan G. Bali & David Hirshleifer & Lin Peng & Yi Tang, 2021. "Attention, Social Interaction, and Investor Attraction to Lottery Stocks," NBER Working Papers 29543, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:29543
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    Citations

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    Cited by:

    1. Qi Xu & Yang Ye, 2023. "Commodity network and predictable returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(10), pages 1423-1449, October.
    2. Eaton, Gregory W. & Green, T. Clifton & Roseman, Brian S. & Wu, Yanbin, 2022. "Retail trader sophistication and stock market quality: Evidence from brokerage outages," Journal of Financial Economics, Elsevier, vol. 146(2), pages 502-528.
    3. Hao, Jing & Wang, Ziqiao & Zhang, Xiaotao & He, Feng & Chen, Xuehong, 2024. "Culture imprint and gambling preference: Evidence from individual investors' trading in the Chinese stock market," Emerging Markets Review, Elsevier, vol. 60(C).
    4. Chen, Xing & Diao, Xundi & Wu, Chongfeng, 2022. "Heterogeneous investor attention and post earnings announcement drift: Evidence from China," Economic Modelling, Elsevier, vol. 110(C).
    5. Agarwal, Vikas & Cochardt, Alexander Elmar & Orlov, Vitaly, 2022. "Birth order and fund manager's trading behavior: Role of sibling rivalry," CFR Working Papers 22-12, University of Cologne, Centre for Financial Research (CFR).
    6. Zhibing Li & Jie Liu & Xiaoyu Liu & Chonglin Wu, 2024. "Investor attention and stock price efficiency: Evidence from quasi‐natural experiments in China," Financial Management, Financial Management Association International, vol. 53(1), pages 175-225, March.
    7. Georgij Alekseev & Safaa Amer & Manasa Gopal & Theresa Kuchler & J. W. Schneider & Johannes Stroebel & Nils Wernerfelt, 2023. "The Effects of COVID-19 on U.S. Small Businesses: Evidence from Owners, Managers, and Employees," Management Science, INFORMS, vol. 69(1), pages 7-24, January.
    8. Christophe J. GODLEWSKI & Katarzyna BYRKA-KITA & Renata GOLA & Jacek CYPRYJANSKI, 2022. "Silence is not golden anymore? Social media activity and stock market valuation in Europe," Working Papers of LaRGE Research Center 2022-04, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    9. Kogana, Shimon & Makarov, Igor & Niessnerc, Marina & Schoar, Antoinette, 2024. "Are cryptos different? Evidence from retail trading," LSE Research Online Documents on Economics 122266, London School of Economics and Political Science, LSE Library.
    10. Wang, Cheng & Han, Jing, 2023. "Prospect theory and mutual fund flows: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    11. Escobar, Laura & Pedraza, Alvaro, 2023. "Active trading and (poor) performance: The social transmission channel," Journal of Financial Economics, Elsevier, vol. 150(1), pages 139-165.
    12. Kormanyos, Emily & Hanspal, Tobin & Hackethal, Andreas, 2023. "Do gamblers invest in lottery stocks?," SAFE Working Paper Series 373, Leibniz Institute for Financial Research SAFE, revised 2023.
    13. Kogan, Shimon & Makarov, Igor & Niessner, Marina & Schoar, Antoinette, 2024. "Are cryptos different? Evidence from retail trading," Journal of Financial Economics, Elsevier, vol. 159(C).
    14. Pelster, Matthias, 2024. "Leverage constraints and investors' choice of underlyings," Journal of Banking & Finance, Elsevier, vol. 162(C).
    15. Baars, Maren & Mohrschladt, Hannes, 2024. "Preferences for maximum daily returns," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 343-353.

    More about this item

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • 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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