IDEAS home Printed from https://ideas.repec.org/a/prg/jnlaop/v2013y2013i5id413p3-30.html
   My bibliography  Save this article

Definition, Benefits and Risks of High-Frequency Trading
[Vymezení, přínosy a rizika vysokofrekvenčního obchodování]

Author

Listed:
  • Jakub Kučera

Abstract

The paper deals with high-frequency algorithmic trading (HFT), which has recently come to dominate some financial markets, e.g. the US equity markets. The author first attempts to establish a clear definition of high-frequency trading. With the most important characteristics having been analysed, it is concluded that such a definition would not bring more clarity into the debate over HFT. Strategies pursued by traders should be given consideration instead. On this account, the text proceeds with the examination of the most common strategies. Afterwards, the question is raised whether the rise of high-frequency algorithmic traders has resulted in more efficient financial markets. Based on robust evidence from academic research, important market participants and exchanges, HFT indeed seems to improve market quality by narrowing spreads and providing additional liquidity - the market-making strategy is mainly responsible for the latter. Issues such as possible system risks (flash crashes, herd behaviour) are also discussed.

Suggested Citation

  • Jakub Kučera, 2013. "Definition, Benefits and Risks of High-Frequency Trading [Vymezení, přínosy a rizika vysokofrekvenčního obchodování]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2013(5), pages 3-30.
  • Handle: RePEc:prg:jnlaop:v:2013:y:2013:i:5:id:413:p:3-30
    DOI: 10.18267/j.aop.413
    as

    Download full text from publisher

    File URL: http://aop.vse.cz/doi/10.18267/j.aop.413.html
    Download Restriction: free of charge

    File URL: http://aop.vse.cz/doi/10.18267/j.aop.413.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.18267/j.aop.413?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    2. 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.
    3. 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.
    4. Hagströmer, Björn & Nordén, Lars, 2013. "The diversity of high-frequency traders," Journal of Financial Markets, Elsevier, vol. 16(4), pages 741-770.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aggarwal, Nidhi & Panchapagesan, Venkatesh & Thomas, Susan, 2023. "When is the order-to-trade ratio fee effective?," Journal of Financial Markets, Elsevier, vol. 62(C).
    2. Albert J. Menkveld & Marius A. Zoican, 2017. "Need for Speed? Exchange Latency and Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 30(4), pages 1188-1228.
    3. Bellia, Mario & Pelizzon, Loriana & Subrahmanyam, Marti & Uno, Jun & Yuferova, Darya, 2017. "Coming early to the party," SAFE Working Paper Series 182, Leibniz Institute for Financial Research SAFE.
      • Mario Bellia & Loriana Pelizzon & Marti G. Subrahmanyam & Jun Uno & Darya Yuferova, 2020. "Coming early to the party," Working Papers 2020:11, Department of Economics, University of Venice "Ca' Foscari".
    4. Fabrice Rousseau & Herve Boco & Laurent Germain, 2020. "High Frequency Trading: Strategic Competition Between Slow and Fast Traders," Economics Department Working Paper Series n296-20.pdf, Department of Economics, National University of Ireland - Maynooth.
    5. Ramos, Henrique Pinto & Perlin, Marcelo Scherer, 2020. "Does algorithmic trading harm liquidity? Evidence from Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    6. Daniel Ladley, 2019. "The Design and Regulation of High Frequency Traders," Discussion Papers in Economics 19/02, Division of Economics, School of Business, University of Leicester.
    7. Kauffman, Robert J. & Liu, Jun & Ma, Dan, 2015. "Innovations in financial IS and technology ecosystems: High-frequency trading in the equity market," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 339-354.
    8. Nidhi Aggarwal & Venkatesh Panchapagesan & Susan Thomas, 2019. "When do regulatory interventions work?," Working Papers id:13040, eSocialSciences.
    9. Hoffmann, Peter, 2014. "A dynamic limit order market with fast and slow traders," Journal of Financial Economics, Elsevier, vol. 113(1), pages 156-169.
    10. Kang, Jongho & Kang, Jangkoo & Kwon, Kyung Yoon, 2022. "Market versus limit orders of speculative high-frequency traders and price discovery," Research in International Business and Finance, Elsevier, vol. 63(C).
    11. 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.
    12. George Jiang & Ingrid Lo & Giorgio Valente, 2014. "High-Frequency Trading around Macroeconomic News Announcements: Evidence from the U.S. Treasury Market," Staff Working Papers 14-56, Bank of Canada.
    13. Seddon, Jonathan J.J.M. & Currie, Wendy L., 2017. "A model for unpacking big data analytics in high-frequency trading," Journal of Business Research, Elsevier, vol. 70(C), pages 300-307.
    14. Erdinc Akyildirim & Shaen Corbet & Guzhan Gulay & Duc Khuong Nguyen & Ahmet Sensoy, 2019. "Order Flow Persistence in Equity Spot and Futures Markets: Evidence from a Dynamic Emerging Market," Working Papers 2019-011, Department of Research, Ipag Business School.
    15. Brice Corgnet & Mark DeSantis & Christoph Siemroth, 2023. "Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach," Working Papers 2313, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    16. Hendershott, Terrence & Menkveld, Albert J., 2014. "Price pressures," Journal of Financial Economics, Elsevier, vol. 114(3), pages 405-423.
    17. Cécile Bastidon, 2017. "Stock markets fragmentation, volatility and final investors," Annals of Finance, Springer, vol. 13(4), pages 435-451, November.
    18. Friederich, Sylvain & Payne, Richard, 2015. "Order-to-trade ratios and market liquidity," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 214-223.
    19. 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.
    20. Кравчук, Ігор Святославович, 2018. "Сучасні тенденції електронної торгівлі обіговими фінансовими інструментами // Modern trends of electronic trading by negotiable financial instruments," Вісник Житомирського державного технологічного університету. Серія: Економічні науки // THE JOURNAL OF ZHYTOMYR STATE TECHNOLOGICAL UNIVERSITY. SERIES: ECONOMICS, Житомирський державний технологічний університет // ZHYTOMYR STATE TECHNOLOGICAL UNIVERSITY, vol. 83(1).

    More about this item

    Keywords

    high-frequency trading; algorithmic trading; definition; market quality;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:prg:jnlaop:v:2013:y:2013:i:5:id:413:p:3-30. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.