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Do high-frequency fleeting orders exacerbate market illiquidity?

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  • Kun Li

    (Beijing Normal University)

Abstract

This paper investigates whether fleeting orders account for market illiquidity. By discussing relevant trading strategies, our study suggests that fleeting orders serve for market making and contribute to market liquidity. Moreover, fleeting orders do not distort price accuracy and are not the outcome of illegal manipulation. We then empirically examine fleeting orders using a NASDAQ ITCH dataset. Our results indicate that fleeting orders have very small effects on market illiquidity and account for neither the amplification of price impact nor the decrease of revenues to liquidity providers. In summary, fleeting orders are not the trigger of market illiquidity and thus should not be considered as “spoofing” defined by the Dodd–Frank Act.

Suggested Citation

  • Kun Li, 2018. "Do high-frequency fleeting orders exacerbate market illiquidity?," Electronic Commerce Research, Springer, vol. 18(2), pages 241-255, June.
    • Handle: RePEc:spr:elcore:v:18:y:2018:i:2:d:10.1007_s10660-017-9273-8
    DOI: 10.1007/s10660-017-9273-8
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    References listed on IDEAS

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    1. Bessembinder, Hendrik, 2003. "Issues in assessing trade execution costs," Journal of Financial Markets, Elsevier, vol. 6(3), pages 233-257, May.
    2. Gerig, Austin & Michayluk, David, 2017. "Automated liquidity provision," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 1-13.
    3. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    4. Andrei Kirilenko & Albert S. Kyle & Mehrdad Samadi & Tugkan Tuzun, 2017. "The Flash Crash: High-Frequency Trading in an Electronic Market," Journal of Finance, American Finance Association, vol. 72(3), pages 967-998, June.
    5. 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.
    6. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014. "High-Frequency Trading and Price Discovery," The Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
    7. Glosten, Lawrence R, 1987. "Components of the Bid-Ask Spread and the Statistical Properties of Transaction Prices," Journal of Finance, American Finance Association, vol. 42(5), pages 1293-1307, December.
    8. Hasbrouck, Joel & Saar, Gideon, 2009. "Technology and liquidity provision: The blurring of traditional definitions," Journal of Financial Markets, Elsevier, vol. 12(2), pages 143-172, May.
    9. 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.
    10. Austin Gerig & David Michayluk, 2010. "Automated Liquidity Provision and the Demise of Traditional Market Making," Papers 1007.2352, arXiv.org.
    11. Albert S. Kyle & S. Viswanathan, 2008. "How to Define Illegal Price Manipulation," American Economic Review, American Economic Association, vol. 98(2), pages 274-279, May.
    12. James Angel & Douglas McCabe, 2013. "Fairness in Financial Markets: The Case of High Frequency Trading," Journal of Business Ethics, Springer, vol. 112(4), pages 585-595, February.
    13. Cooper, Ricky & Davis, Michael & Van Vliet, Ben, 2016. "The Mysterious Ethics of High-Frequency Trading," Business Ethics Quarterly, Cambridge University Press, vol. 26(1), pages 1-22, January.
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