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Will high-frequency trading practices transform the financial markets in the Asia Pacific Region?

Author

Listed:
  • Robert J. Kauffman

    (School of Information Systems, Singapore Management University)

  • Yuzhou Hu

    (School of Information Systems, Singapore Management University)

  • Dan Ma

    (School of Information Systems, Singapore Management University)

Abstract

High-frequency trading (HFT) practices in the global financial markets involve the use of information and communication technologies (ICT), especially the capabilities of high-speed networks, rapid computation, and algorithmic detection of changing information and prices that create opportunities for computers to effect low-latency trades that can be accomplished in milliseconds. HFT practices exist because a variety of new technologies have made them possible, and because financial market infrastructure capabilities have also been changing so rapidly. The U.S. markets, such as the National Association for Securities Dealers Automated Quote (NASDAQ) market and the New York Stock Exchange (NYSE), have maintained relevance and centrality in financial intermediation in financial markets settings that have changed so much in the past 20 years that they are hardly recognizable. In this article, we explore the technological, institutional and market developments in leading financial markets around the world that have embraced HFT trading. From these examples, we will distill a number of common characteristics that seem to be in operation, and then assess the extent to which HFT practices have begun to be observed in Asian regional financial markets, and what will be their likely impacts. We also discuss a number of theoretical and empirical research directions of interest.

Suggested Citation

  • Robert J. Kauffman & Yuzhou Hu & Dan Ma, 2015. "Will high-frequency trading practices transform the financial markets in the Asia Pacific Region?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-27, December.
    • Handle: RePEc:spr:fininn:v:1:y:2015:i:1:d:10.1186_s40854-015-0003-8
    DOI: 10.1186/s40854-015-0003-8
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    References listed on IDEAS

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    1. Tufano, Peter, 1989. "Financial innovation and first-mover advantages," Journal of Financial Economics, Elsevier, vol. 25(2), pages 213-240, December.
    2. 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.
    3. Hans R. Stoll, 2006. "Electronic Trading in Stock Markets," Journal of Economic Perspectives, American Economic Association, vol. 20(1), pages 153-174, Winter.
    4. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    5. 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.
    6. James Weston, 2002. "Electronic Communication Networks and Liquidity on the Nasdaq," Journal of Financial Services Research, Springer;Western Finance Association, vol. 22(1), pages 125-139, August.
    7. 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.
    8. Robert A. Jarrow & Philip Protter, 2012. "A Dysfunctional Role Of High Frequency Trading In Electronic Markets," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 1-15.
    9. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    10. Garbade, Kenneth D & Silber, William L, 1978. "Technology, Communication and the Performance of Financial Markets: 1840-1975," Journal of Finance, American Finance Association, vol. 33(3), pages 819-832, June.
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    Cited by:

    1. Somayeh Kokabisaghi & Eric J Pauwels & Andre B Dorsman, 2019. "To snipe or not to snipe, that is the question! Transitions in sniping behaviour among competing algorithmic traders," Papers 1912.04012, arXiv.org, revised Sep 2020.
    2. Wolfgang Kuhle, 2023. "Latency arbitrage and the synchronized placement of orders," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-18, December.
    3. Khairul Zharif Zaharudin & Martin R. Young & Wei‐Huei Hsu, 2022. "High‐frequency trading: Definition, implications, and controversies," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 75-107, February.
    4. Zhou, Hao & Kalev, Petko S., 2019. "Algorithmic and high frequency trading in Asia-Pacific, now and the future," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 186-207.
    5. Kou, Mingting & Yang, Yuanqi & Chen, Kaihua, 2024. "Financial technology research: Past and future trajectories," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 162-181.

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