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High‐frequency trading order cancellations and market quality: Is stricter regulation the answer?

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  • Viktor Manahov

Abstract

High‐frequency traders (HFTs) frequently submit, cancel and resubmit trading orders in an attempt to stay in front of the queue. This study shows that HFTs cancel a large number of limit orders within 50 ms in order to create arbitrage opportunities in the Australian Stock Exchange (ASX). We find that HFTs generate substantial profits after transaction costs and are capable of extending their strong profitability generating record in the future. Our empirical results indicate that institutional investors lacking speed are more likely to experience higher execution costs. We propose the introduction of batch auctions, one per 50 ms of trading, to impose a queuing risk for HFTs leading to positive market quality effects.

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  • Viktor Manahov, 2021. "High‐frequency trading order cancellations and market quality: Is stricter regulation the answer?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5385-5407, October.
    • Handle: RePEc:wly:ijfiec:v:26:y:2021:i:4:p:5385-5407
    DOI: 10.1002/ijfe.2071
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    1. Viktor Manahov, 2016. "Front-Running Scalping Strategies and Market Manipulation: Why Does High-Frequency Trading Need Stricter Regulation?," The Financial Review, Eastern Finance Association, vol. 51(3), pages 363-402, August.
    2. Pawan Jain & Steven J. Jordan, 2017. "Cancellation Latency: The Good, the Bad, and the Ugly," Financial Management, Financial Management Association International, vol. 46(2), pages 377-407, June.
    3. Biais, Bruno & Foucault, Thierry & Moinas, Sophie, 2015. "Equilibrium fast trading," Journal of Financial Economics, Elsevier, vol. 116(2), pages 292-313.
    4. O'Hara, Maureen & Ye, Mao, 2011. "Is market fragmentation harming market quality?," Journal of Financial Economics, Elsevier, vol. 100(3), pages 459-474, June.
    5. 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.
    6. Connolly, Robert A., 1989. "An Examination of the Robustness of the Weekend Effect," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(2), pages 133-169, June.
    7. 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.
    8. Avanidhar Subrahmanyam & Hui Zheng, 2016. "Limit order placement by high-frequency traders," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 16(4), pages 185-209, December.
    9. Jeremy Large, 2004. "Cancellation and uncertainty aversion on limit order books," OFRC Working Papers Series 2004fe04, Oxford Financial Research Centre.
    10. Chung, Dennis & Hrazdil, Karel, 2010. "Liquidity and market efficiency: A large sample study," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2346-2357, October.
    11. Ola Oluwa S. Yaya & Luis A. Gil‐Alana & Olanrewaju I. Shittu, 2015. "Fractional Integration and Asymmetric Volatility in European, American and Asian Bull and Bear Markets: Application to High‐frequency Stock Data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 20(3), pages 276-290, July.
    12. Eun Jung Lee, 2015. "High Frequency Trading in the Korean Index Futures Market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(1), pages 31-51, January.
    13. Meade, Nigel, 2002. "A comparison of the accuracy of short term foreign exchange forecasting methods," International Journal of Forecasting, Elsevier, vol. 18(1), pages 67-83.
    14. Hendershott, Terrence & Riordan, Ryan, 2013. "Algorithmic Trading and the Market for Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(4), pages 1001-1024, August.
    15. 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.
    16. Jakub ROJCEK & Alexandre ZIEGLER, 2015. "High-Frequency Trading in Limit Order Markets: Equilibrium Impact and Regulation," Swiss Finance Institute Research Paper Series 15-23, Swiss Finance Institute, revised Jul 2015.
    17. Anand, Amber & Tanggaard, Carsten & Weaver, Daniel G., 2009. "Paying for Market Quality," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(6), pages 1427-1457, December.
    18. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    19. Alex Frino & Vito Mollica & Robert I. Webb, 2014. "The Impact of Co‐Location of Securities Exchanges' and Traders' Computer Servers on Market Liquidity," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(1), pages 20-33, January.
    20. Michael Goldstein & Albert J. Menkveld, 2014. "High-Frequency Traders and Market Structure," The Financial Review, Eastern Finance Association, vol. 49(2), pages 333-344, May.
    21. Eric Budish & Peter Cramton & John Shim, 2015. "Editor's Choice The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1547-1621.
    22. Jun Muranaga & Tokiko Shimizu, 1999. "Market Microstructure and Market Liquidity," CGFS Papers chapters, in: Bank for International Settlements (ed.), Market Liquidity: Research Findings and Selected Policy Implications, volume 11, pages 1-28, Bank for International Settlements.
    23. 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.
    24. Vincent van Kervel, 2015. "Competition for Order Flow with Fast and Slow Traders," Review of Financial Studies, Society for Financial Studies, vol. 28(7), pages 2094-2127.
    25. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2008. "Liquidity and market efficiency," Journal of Financial Economics, Elsevier, vol. 87(2), pages 249-268, February.
    26. Ibikunle, Gbenga & Gregoriou, Andros & Hoepner, Andreas G.F. & Rhodes, Mark, 2016. "Liquidity and market efficiency in the world's largest carbon market," The British Accounting Review, Elsevier, vol. 48(4), pages 431-447.
    27. Stenfors, Alexis & Susai, Masayuki, 2019. "Liquidity withdrawal in the FX spot market: A cross-country study using high-frequency data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 59(C), pages 36-57.
    28. Jonathan Brogaard & Björn Hagströmer & Lars Nordén & Ryan Riordan, 2015. "Trading Fast and Slow: Colocation and Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 28(12), pages 3407-3443.
    29. Hoffmann, Peter, 2014. "A dynamic limit order market with fast and slow traders," Journal of Financial Economics, Elsevier, vol. 113(1), pages 156-169.
    30. Joon Chae & Jaeuk Khil & Eun Jung Lee, 2013. "Who Makes Markets? Liquidity Providers Versus Algorithmic Traders," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(5), pages 397-420, May.
    31. Liu, Wai-Man, 2009. "Monitoring and limit order submission risks," Journal of Financial Markets, Elsevier, vol. 12(1), pages 107-141, February.
    32. Bonnie F. Van Ness & Robert A. Van Ness & Ethan D. Watson, 2015. "Canceling Liquidity," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 38(1), pages 3-33, March.
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