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Liquidity Provision and Noise Trading: Evidence from the “Investment Dartboard” Column

Author

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  • Jason Greene
  • Scott Smart
Abstract
How does increased noise trading affect market liquidity and trading costs? We use The Wall Street Journal's “Investment Dartboard” column, which stimulates noise trading, as a natural experiment to evaluate models of the bid‐ask spread. We find that substantial increases in trading volume and significant but temporary abnormal returns occur when analysts recommend stocks in this column, especially when recommendations come from analysts with successful contest track records. We also find an increase in liquidity and a decrease in the adverse selection component of the bid‐ask spread.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:jfinan:v:54:y:1999:i:5:p:1885-1899
    DOI: 10.1111/0022-1082.00171
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    Cited by:

    1. Ding, Cherng G. & Wang, Hung-Jui & Lee, Meng-Che & Hung, Wen-Chi & Jane, Ten-Der, 2021. "Assessing the reversal of investor sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    2. Atanasova, Christina & Weisskopf, Jean-Philippe, 2020. "The price of international equity ETFs: The role of relative liquidity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    3. Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2023. "Investor Confidence and Forecastability of US Stock Market Realized Volatility: Evidence from Machine Learning," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 24(1), pages 111-122, January.
    4. Ghadhab, Imen, 2018. "Arbitrage opportunities and liquidity: An intraday event study on cross-listed stocks," Journal of Multinational Financial Management, Elsevier, vol. 46(C), pages 1-10.
    5. 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.
    6. Paulo Pereira Silva & Isabel Vieira, 2022. "On the Effects of Capital Markets’ Regulation on Price Informativeness: an Assessment of EU Market Abuse Directive," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(2), pages 125-157, June.
    7. Zhang, Lei, 2017. "Local equity market participation and stock liquidity," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 101-121.
    8. Christopher S. Armstrong & John E. Core & Daniel J. Taylor & Robert E. Verrecchia, 2011. "When Does Information Asymmetry Affect the Cost of Capital?," Journal of Accounting Research, Wiley Blackwell, vol. 49(1), pages 1-40, March.
    9. 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.
    10. Zhang, Chris H. & Frijns, Bart, 2019. "Noise trading and informational efficiency," EconStor Preprints 198037, ZBW - Leibniz Information Centre for Economics.
    11. Goetzmann, William N. & Huang, Simon, 2018. "Momentum in Imperial Russia," Journal of Financial Economics, Elsevier, vol. 130(3), pages 579-591.
    12. Fishe, Raymond P. H. & Robe, Michel A., 2004. "The impact of illegal insider trading in dealer and specialist markets: evidence from a natural experiment," Journal of Financial Economics, Elsevier, vol. 71(3), pages 461-488, March.
    13. Berkman, Henk & Koch, Paul D., 2008. "Noise trading and the price formation process," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 232-250, March.
    14. Abudy, Menachem Meni, 2020. "Retail investors’ trading and stock market liquidity," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    15. Lin, Chu-Bin & Chou, Robin K. & Wang, George H.K., 2018. "Investor sentiment and price discovery: Evidence from the pricing dynamics between the futures and spot markets," Journal of Banking & Finance, Elsevier, vol. 90(C), pages 17-31.
    16. H. F. Baklaci & O. Olgun & E. Can, 2011. "Noise traders: a new approach to understand the phantom of stock markets," Applied Economics Letters, Taylor & Francis Journals, vol. 18(11), pages 1035-1041.
    17. Hautsch, Nikolaus, 2002. "Modelling Intraday Trading Activity Using Box-Cox-ACD Models," CoFE Discussion Papers 02/05, University of Konstanz, Center of Finance and Econometrics (CoFE).
    18. Diego Escobari & Mohammad Jafarinejad, 2019. "Investors’ Uncertainty and Stock Market Risk," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 20(3), pages 304-315, July.
    19. Krishnan, R. & Mishra, Vinod, 2013. "Intraday liquidity patterns in Indian stock market," Journal of Asian Economics, Elsevier, vol. 28(C), pages 99-114.
    20. Ross Dickens & Roger Shelor, 2003. "Pros win! Pros win!… or do they?: an analysis of the 'Dartboard' contest using stochastic dominance," Applied Financial Economics, Taylor & Francis Journals, vol. 13(8), pages 573-579.
    21. Paulo Pereira da Silva & Carlos Vieira & Isabel Vieira, 2018. "Central clearing and CDS market quality," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(6), pages 731-753, June.
    22. Michael Weba, 2024. "Investment strategies based on forecasts are (almost) useless," Papers 2408.01772, arXiv.org.

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