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Individual investor trading and stock liquidity

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  • Qin Wang
  • Jun Zhang

Abstract

Recent studies suggest that individual investors may have private information and their trading can be informative. Consistent with this observation, we find that stocks that are more heavily traded by individual investors have higher liquidity, after controlling for other determinants of liquidity. The result is robust to various model specifications, the inclusion of firm, industry, and year fixed-effects, controls for endogeneity, and alternative measures of liquidity. The positive effect of individual investor trading on stock liquidity is stronger for firms with greater information asymmetry, consistent with individual investor trading reducing information asymmetry. These results suggest that individual investor trading improves stock liquidity through reducing information asymmetry. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Qin Wang & Jun Zhang, 2015. "Individual investor trading and stock liquidity," Review of Quantitative Finance and Accounting, Springer, vol. 45(3), pages 485-508, October.
    • Handle: RePEc:kap:rqfnac:v:45:y:2015:i:3:p:485-508
    DOI: 10.1007/s11156-014-0444-6
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    Cited by:

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    3. Daniela Vesselinova Balkanska, 2018. "Disposition effect and analyst forecast dispersion," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 837-859, April.
    4. Lim, Kian-Ping & Thian, Tze-Chung & Hooy, Chee-Wooi, 2017. "Investor heterogeneity, trading account types and competing liquidity channels for Malaysian stocks," Research in International Business and Finance, Elsevier, vol. 41(C), pages 220-234.
    5. Jia Jia Hing & Yee Peng Chow, 2022. "Influence of institutional investor heterogeneity on stock liquidity and its underlying liquidity channels," International Journal of Business and Emerging Markets, Inderscience Enterprises Ltd, vol. 14(3), pages 252-278.
    6. Chia, Yee-Ee & Lim, Kian-Ping & Goh, Kim-Leng, 2020. "More shareholders, higher liquidity? Evidence from an emerging stock market," Emerging Markets Review, Elsevier, vol. 44(C).
    7. Yahui An & Lin Huang & Youwei Li, 2022. "The Asymmetric Overnight Return Anomaly in the Chinese Stock Market," JRFM, MDPI, vol. 15(11), pages 1-20, November.
    8. Yutaka KURIHARA, 2017. "Monetary Policy and Stock/Foreign Exchange Market Liquidity: The Japanese Case," Journal of Economics Library, KSP Journals, vol. 4(1), pages 1-8, March.
    9. Wang, Qin & Zhang, Jun, 2015. "Does individual investor trading impact firm valuation?," Journal of Corporate Finance, Elsevier, vol. 35(C), pages 120-135.
    10. Abudy, Menachem Meni, 2020. "Retail investors’ trading and stock market liquidity," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    11. Meskat Ibne Sharif, 2023. "Parametric test of liquidity wavering in response to the dynamic equity constituents," SN Business & Economics, Springer, vol. 3(1), pages 1-26, January.
    12. Lim, Kian-Ping & Thian, Tze-Chung & Hooy, Chee-Wooi, 2015. "Corporate Shareholdings and the Liquidity of Malaysian Stocks: Investor Heterogeneity, Trading Account Types and the Underlying Channels," MPRA Paper 67602, University Library of Munich, Germany.
    13. Tissaoui, Kais & Ftiti, Zied, 2016. "Liquidity, liquidity risk, and information flow: Lessons from an emerging market," Research in International Business and Finance, Elsevier, vol. 37(C), pages 28-48.
    14. Hardy Johnson & Ansley Chua & Tianming Zhang, 2018. "Odd lot trading and earnings announcements," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 529-551, August.
    15. Jain, Pankaj K. & Linna, Jared A. & McInish, Thomas H., 2021. "An examination of the NYSE’s retail liquidity program," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 367-373.
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    17. Qingjing Zhang & Taufiq Choudhry & Jing-Ming Kuo & Xiaoquan Liu, 2021. "Does liquidity drive stock market returns? The role of investor risk aversion," Review of Quantitative Finance and Accounting, Springer, vol. 57(3), pages 929-958, October.

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    More about this item

    Keywords

    Individual investor; Trading; Stock liquidity; Information asymmetry; G12; G14;
    All these keywords.

    JEL classification:

    • 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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