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Liquidity provision and informed trading by individual investors

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  • Tian, Xiao
  • Do, Binh
  • Duong, Huu Nhan
  • Kalev, Petko S.

Abstract

This study examines the relation between individual investor trading and future stock returns in the Australian equity market. We find that the net trading of Australian individual investors is positively related to future returns. We show that this association is driven by individual investors who play the role as liquidity providers. We further document that the proliferation of algorithmic trading in recent years dampens the relation between individual trading and future returns. Finally, we present evidence that the net individual trading prior to earnings announcements predicts post-announcement returns. This prediction, however, is only observed for individual investors using full-service brokers.

Suggested Citation

  • Tian, Xiao & Do, Binh & Duong, Huu Nhan & Kalev, Petko S., 2015. "Liquidity provision and informed trading by individual investors," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 143-162.
    • Handle: RePEc:eee:pacfin:v:35:y:2015:i:pa:p:143-162
    DOI: 10.1016/j.pacfin.2014.11.005
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    Cited by:

    1. Reza Bradrania & Andrew Grant & Peter Joakim Westerholm & Wei Wu, 2017. "Fool's mate: What does CHESS tell us about individual investor trading performance?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(4), pages 981-1017, December.
    2. 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.
    3. Zhijuan Chen & William T. Lin & Changfeng Ma & Kent Wang, 2020. "Are individual investors liquidity providers around earnings announcements? Evidence from an emerging market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3447-3475, December.
    4. 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.
    5. Mudalige, Priyantha & Duong, Huu Nhan & Kalev, Petko S. & Gupta, Kartick, 2020. "Who trades in competing firms around earnings announcements," Pacific-Basin Finance Journal, Elsevier, vol. 59(C).
    6. Duong, Huu Nhan & Lajbcygier, Paul & Vu, Van Hoang, 2017. "The information content of special orders," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 68-81.
    7. Yi Luo & Steven E. Salterio, 2022. "The Effect of Gender on Investors’ Judgments and Decision-Making," Journal of Business Ethics, Springer, vol. 179(1), pages 237-258, August.
    8. Paula A. Yepes-Henao & Diego A. Agudelo & Ramazan Gencay, 2018. "Muddying the waters: Who Induces Volatility in an Emerging Market?," Documentos de Trabajo CIEF 16974, Universidad EAFIT.
    9. Balachandran, Balasingham & Faff, Robert, 2015. "Corporate governance, firm value and risk: Past, present, and future," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 1-12.
    10. Duong, Huu Nhan & Lajbcygier, Paul & Lu, Jerry Shuai & Vu, Van Hoang, 2018. "The effect of anonymity on price efficiency: Evidence from the removal of broker identities," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 95-107.
    11. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar & Ramlakhan, Prakash, 2020. "Herding in the Singapore stock Exchange," Journal of Economics and Business, Elsevier, vol. 109(C).
    12. Chiah, Mardy & Tian, Xiao & Zhong, Angel, 2022. "Lockdown and retail trading in the equity market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
    13. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar, 2017. "Dynamic herding analysis in a frontier market," Research in International Business and Finance, Elsevier, vol. 42(C), pages 496-508.

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    More about this item

    Keywords

    Individual investors; Future stock returns; Algorithmic trading; Liquidity provision; Informed trading;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

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