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Retail trader sophistication and stock market quality: Evidence from brokerage outages

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  • Eaton, Gregory W.
  • Green, T. Clifton
  • Roseman, Brian S.
  • Wu, Yanbin

Abstract

We study brokerage platform outages to examine the impact of retail investors on financial markets. We contrast outages at Robinhood, which caters to inexperienced investors, with outages at traditional retail brokers. For stocks with high retail interest, we find that negative shocks to Robinhood investor participation are associated with reduced market order imbalances, increased market liquidity, and lower return volatility, whereas the opposite relations hold following outages at traditional retail brokerages. The findings suggest that herding by inexperienced investors can create inventory risks that harm liquidity in stocks with high retail interest, while other retail trading improves market quality.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jfinec:v:146:y:2022:i:2:p:502-528
    DOI: 10.1016/j.jfineco.2022.08.002
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    as
    1. Andriy Shkilko & Konstantin Sokolov, 2020. "Every Cloud Has a Silver Lining: Fast Trading, Microwave Connectivity, and Trading Costs," Journal of Finance, American Finance Association, vol. 75(6), pages 2899-2927, December.
    2. Milo Bianchi, 2018. "Financial Literacy and Portfolio Dynamics," Journal of Finance, American Finance Association, vol. 73(2), pages 831-859, April.
    3. Grossman, Sanford J & Miller, Merton H, 1988. " Liquidity and Market Structure," Journal of Finance, American Finance Association, vol. 43(3), pages 617-637, July.
    4. Rawley Heimer, 2016. "Peer Pressure: Social Interaction and the Disposition Effect," Working Papers (Old Series) 1618, Federal Reserve Bank of Cleveland.
    5. William N. Goetzmann & Alok Kumar, 2008. "Equity Portfolio Diversification," Review of Finance, European Finance Association, vol. 12(3), pages 433-463.
    6. Battalio, Robert H, 1997. "Third Market Broker-Dealers: Cost Competitors or Cream Skimmers?," Journal of Finance, American Finance Association, vol. 52(1), pages 341-352, March.
    7. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    8. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    9. Robert Battalio & Shane A. Corwin & Robert Jennings, 2016. "Can Brokers Have It All? On the Relation between Make-Take Fees and Limit Order Execution Quality," Journal of Finance, American Finance Association, vol. 71(5), pages 2193-2238, October.
    10. Thierry Foucault & David Sraer & David J. Thesmar, 2011. "Individual Investors and Volatility," Journal of Finance, American Finance Association, vol. 66(4), pages 1369-1406, August.
    11. Buti, Sabrina & Rindi, Barbara & Werner, Ingrid M., 2017. "Dark pool trading strategies, market quality and welfare," Journal of Financial Economics, Elsevier, vol. 124(2), pages 244-265.
    12. Rawley Z. Heimer, 2016. "Peer Pressure: Social Interaction and the Disposition Effect," Review of Financial Studies, Society for Financial Studies, vol. 29(11), pages 3177-3209.
    13. 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.
    14. Cookson, J. Anthony & Fos, Vyacheslav & Niessner, Marina, 2021. "Does Disagreement Facilitate Informed Trading? Evidence from Activist Investors," SocArXiv q8xvc, Center for Open Science.
    15. Conrad, Jennifer & Wahal, Sunil, 2020. "The term structure of liquidity provision," Journal of Financial Economics, Elsevier, vol. 136(1), pages 239-259.
    16. Philippe van der Beck & Coralie Jaunin, 2021. "The Equity Market Implications of the Retail Investment Boom," Swiss Finance Institute Research Paper Series 21-12, Swiss Finance Institute.
    17. Easley, David & Kiefer, Nicholas M & O'Hara, Maureen, 1996. "Cream-Skimming or Profit-Sharing? The Curious Role of Purchased Order Flow," Journal of Finance, American Finance Association, vol. 51(3), pages 811-833, July.
    18. Eric K. Kelley & Paul C. Tetlock, 2017. "Retail Short Selling and Stock Prices," Review of Financial Studies, Society for Financial Studies, vol. 30(3), pages 801-834.
    19. John Y. Campbell & Albert S. Kyle, 1993. "Smart Money, Noise Trading and Stock Price Behaviour," Review of Economic Studies, Oxford University Press, vol. 60(1), pages 1-34.
    20. 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.
    21. Brogaard, Jonathan & Hendershott, Terrence & Riordan, Ryan, 2017. "High frequency trading and the 2008 short-sale ban," Journal of Financial Economics, Elsevier, vol. 124(1), pages 22-42.
    22. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    23. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    24. Bessembinder, Hendrik & Kaufman, Herbert M., 1997. "A cross-exchange comparison of execution costs and information flow for NYSE-listed stocks," Journal of Financial Economics, Elsevier, vol. 46(3), pages 293-319, December.
    25. 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.
    26. Robert A Korajczyk & Dermot Murphy, 2019. "High-Frequency Market Making to Large Institutional Trades," Review of Financial Studies, Society for Financial Studies, vol. 32(3), pages 1034-1067.
    27. Greenwood, Robin & Nagel, Stefan, 2009. "Inexperienced investors and bubbles," Journal of Financial Economics, Elsevier, vol. 93(2), pages 239-258, August.
    28. Comerton-Forde, Carole & Malinova, Katya & Park, Andreas, 2018. "Regulating dark trading: Order flow segmentation and market quality," Journal of Financial Economics, Elsevier, vol. 130(2), pages 347-366.
    29. Barrot, Jean-Noel & Kaniel, Ron & Sraer, David, 2016. "Are retail traders compensated for providing liquidity?," Journal of Financial Economics, Elsevier, vol. 120(1), pages 146-168.
    30. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2002. "Dynamic Volume-Return Relation of Individual Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1005-1047.
    31. Vincent Van Kervel & Albert J. Menkveld, 2019. "High‐Frequency Trading around Large Institutional Orders," Journal of Finance, American Finance Association, vol. 74(3), pages 1091-1137, June.
    32. Ralph S. J. Koijen & Motohiro Yogo, 2019. "A Demand System Approach to Asset Pricing," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1475-1515.
    33. 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.
    34. 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.
    35. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    36. 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.
    37. Ho, Thomas & Stoll, Hans R., 1981. "Optimal dealer pricing under transactions and return uncertainty," Journal of Financial Economics, Elsevier, vol. 9(1), pages 47-73, March.
    38. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    39. David C. Porter & Carsten Tanggaard & Daniel G. Weaver & Wei Yu, 2008. "Dispersed Trading and the Prevention of Market Failure: the Case of the Copenhagen Stock Exchange," European Financial Management, European Financial Management Association, vol. 14(2), pages 243-267, March.
    40. Joel Peress & Daniel Schmidt, 2020. "Glued to the TV: Distracted Noise Traders and Stock Market Liquidity," Journal of Finance, American Finance Association, vol. 75(2), pages 1083-1133, April.
    41. Menkveld, Albert J. & Yueshen, Bart Zhou & Zhu, Haoxiang, 2017. "Shades of darkness: A pecking order of trading venues," Journal of Financial Economics, Elsevier, vol. 124(3), pages 503-534.
    42. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    43. 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.
    44. Jason Greene & Scott Smart, 1999. "Liquidity Provision and Noise Trading: Evidence from the “Investment Dartboard” Column," Journal of Finance, American Finance Association, vol. 54(5), pages 1885-1899, October.
    45. 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.
    46. Justin Cox & Bonnie Van Ness & Robert Van Ness, 2022. "Stock splits and retail trading," The Financial Review, Eastern Finance Association, vol. 57(4), pages 731-750, November.
    47. Hailiang Chen & Prabuddha De & Yu (Jeffrey) Hu & Byoung-Hyoun Hwang, 2014. "Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media," Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1367-1403.
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    Cited by:

    1. Baig, Ahmed S. & Blau, Benjamin M. & Butt, Hassan A. & Yasin, Awaid, 2022. "Do retail traders destabilize financial markets? An investigation surrounding the COVID-19 pandemic," Journal of Banking & Finance, Elsevier, vol. 144(C).
    2. Justin Cox & Kathleen P. Fuller & Robert Van Ness, 2024. "Where does ex‐dividend trading occur: An examination of trading venues around dividends," The Financial Review, Eastern Finance Association, vol. 59(1), pages 31-55, February.
    3. Brice Corgnet & Mark DeSantis & Christoph Siemroth, 2023. "Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach," Working Papers 2313, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    4. Nobanee, Haitham & Ellili, Nejla Ould Daoud, 2023. "What do we know about meme stocks? A bibliometric and systematic review, current streams, developments, and directions for future research," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 589-602.
    5. Ingar Haaland & Ole-Andreas Elvik Næss & Ingar K. Haaland, 2023. "Misperceived Returns to Active Investing," CESifo Working Paper Series 10257, CESifo.
    6. David Ardia & Cl'ement Aymard & Tolga Cenesizoglu, 2023. "Fast and Furious: A High-Frequency Analysis of Robinhood Users' Trading Behavior," Papers 2307.11012, arXiv.org.
    7. Baig, Ahmed S. & Blau, Benjamin M. & Butt, Hassan A. & Yasin, Awaid, 2023. "Reprint of: Do retail traders destabilize financial markets? An investigation surrounding the COVID-19 pandemic," Journal of Banking & Finance, Elsevier, vol. 147(C).
    8. Chen, Zhongdong & Craig, Karen Ann, 2023. "Active attention, retail investor base, and stock returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    9. Du, Zhihui & Zheng, Xiaojia & Zhang, Chenye & Zhou, Rongxi, 2023. "Does the online interaction between retail investors and firm management affect capital structure?," Finance Research Letters, Elsevier, vol. 55(PA).

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    More about this item

    Keywords

    Retail investors; High frequency trading; Market quality; WallStreetBets;
    All these keywords.

    JEL classification:

    • 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

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