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Place Your Bets? The Value of Investment Research on Reddit’s Wallstreetbets

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  • Daniel Bradley
  • Jan Hanousek
  • Russell Jame
  • Zicheng Xiao

Abstract

We examine the value of due diligence recommendations on Reddit’s Wallstreetbets (WSB) platform. Before the Gamestop (GME) short squeeze, recommendations are significant predictors of returns and cash-flow news. This predictability is eliminated post-GME. Post-GME, the fraction of reports emphasizing price-pressure or attention-grabbing stocks dramatically increases, and the decline in informativeness is concentrated in these reports. Similarly, retail trade informativeness is particularly strong following DD reports in the pre-GME period, but not post-GME. Our findings are consistent with the view that the Gamestop event altered the culture of WSB, leading to a deterioration in investment quality that adversely affected smaller investors.

Suggested Citation

  • Daniel Bradley & Jan Hanousek & Russell Jame & Zicheng Xiao, 2024. "Place Your Bets? The Value of Investment Research on Reddit’s Wallstreetbets," The Review of Financial Studies, Society for Financial Studies, vol. 37(5), pages 1409-1459.
    • Handle: RePEc:oup:rfinst:v:37:y:2024:i:5:p:1409-1459.
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    References listed on IDEAS

    as
    1. Stefan Nagel, 2012. "Evaporating Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 25(7), pages 2005-2039.
    2. Goldstein, Itay & Ozdenoren, Emre & Yuan, Kathy, 2013. "Trading frenzies and their impact on real investment," Journal of Financial Economics, Elsevier, vol. 109(2), pages 566-582.
    3. Womack, Kent L, 1996. "Do Brokerage Analysts' Recommendations Have Investment Value?," Journal of Finance, American Finance Association, vol. 51(1), pages 137-167, March.
    4. Stefano Cassella & Huseyin Gulen, 2018. "Extrapolation Bias and the Predictability of Stock Returns by Price-Scaled Variables," The Review of Financial Studies, Society for Financial Studies, vol. 31(11), pages 4345-4397.
    5. Bali, Turan G. & Cakici, Nusret & Whitelaw, Robert F., 2011. "Maxing out: Stocks as lotteries and the cross-section of expected returns," Journal of Financial Economics, Elsevier, vol. 99(2), pages 427-446, February.
    6. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2015. "X-CAPM: An extrapolative capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 115(1), pages 1-24.
    7. Ekkehart Boehmer & Charles M. Jones & Xiaoyan Zhang & Xinran Zhang, 2021. "Tracking Retail Investor Activity," Journal of Finance, American Finance Association, vol. 76(5), pages 2249-2305, October.
    8. 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.
    9. Ozik, Gideon & Sadka, Ronnie & Shen, Siyi, 2021. "Flattening the Illiquidity Curve: Retail Trading During the COVID-19 Lockdown," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(7), pages 2356-2388, November.
    10. Ivo Welch, 2022. "The Wisdom of the Robinhood Crowd," Journal of Finance, American Finance Association, vol. 77(3), pages 1489-1527, June.
    11. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    12. Daniel Bradley & Russell Jame & Jared Williams, 2022. "Non‐Deal Roadshows, Informed Trading, and Analyst Conflicts of Interest," Journal of Finance, American Finance Association, vol. 77(1), pages 265-315, February.
    13. Angel Tengulov & Franklin Allen & Eric Nowak & Matteo Pirovano, 2021. "Squeezing Shorts Through Social News Platforms," Swiss Finance Institute Research Paper Series 21-31, Swiss Finance Institute.
    14. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    15. Ron Kaniel & Shuming Liu & Gideon Saar & Sheridan Titman, 2012. "Individual Investor Trading and Return Patterns around Earnings Announcements," Journal of Finance, American Finance Association, vol. 67(2), pages 639-680, April.
    16. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    17. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    18. Robin Greenwood & Andrei Shleifer, 2014. "Expectations of Returns and Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 714-746.
    19. Manuel Ammann & Nic Schaub, 2021. "Do Individual Investors Trade on Investment-Related Internet Postings?," Management Science, INFORMS, vol. 67(9), pages 5679-5702, September.
    20. AltInkIlIç, Oya & Hansen, Robert S., 2009. "On the information role of stock recommendation revisions," Journal of Accounting and Economics, Elsevier, vol. 48(1), pages 17-36, October.
    21. Soeren Hvidkjaer, 2008. "Small Trades and the Cross-Section of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1123-1151, May.
    22. Russell Jame & Rick Johnston & Stanimir Markov & Michael C. Wolfe, 2016. "The Value of Crowdsourced Earnings Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1077-1110, September.
    23. Eric K. Kelley & Paul C. Tetlock, 2013. "How Wise Are Crowds? Insights from Retail Orders and Stock Returns," Journal of Finance, American Finance Association, vol. 68(3), pages 1229-1265, June.
    24. Hailiang Chen & Prabuddha De & Yu (Jeffrey) Hu & Byoung-Hyoun Hwang, 2014. "Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1367-1403.
    25. Da, Zhi & Huang, Xing & Jin, Lawrence J., 2021. "Extrapolative beliefs in the cross-section: What can we learn from the crowds?," Journal of Financial Economics, Elsevier, vol. 140(1), pages 175-196.
    26. Farrell, Michael & Green, T. Clifton & Jame, Russell & Markov, Stanimir, 2022. "The democratization of investment research and the informativeness of retail investor trading," Journal of Financial Economics, Elsevier, vol. 145(2), pages 616-641.
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    Keywords

    G20; G23;

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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