IDEAS home Printed from https://ideas.repec.org/a/eee/finmar/v45y2019icp1-18.html
   My bibliography  Save this article

Make-take decisions under high-frequency trading competition

Author

Listed:
  • Bernales, Alejandro

Abstract

The make-take preferences of investors depend on high-frequency trading (HFT) competition, under which HFT firms endogenously acquire speed and informational advantages. In the case where there are many HFT firms in the market, they compete more through limit orders; meanwhile, in the case with few HFT firms, they compete more through market orders that “pick-off" limit orders coming from the big crowd of slow traders. In the former (latter) case, additional HFT competition improves (damage) liquidity. In both cases, HFT competition improves informational efficiency and reduces microstructure noise. Finally, I use the model to analyze potential regulations under HFT competition.

Suggested Citation

  • Bernales, Alejandro, 2019. "Make-take decisions under high-frequency trading competition," Journal of Financial Markets, Elsevier, vol. 45(C), pages 1-18.
    • Handle: RePEc:eee:finmar:v:45:y:2019:i:c:p:1-18
    DOI: 10.1016/j.finmar.2019.05.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1386418117301611
    Download Restriction: Full text for ScienceDirect subscribers only

    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. Foucault, Thierry, 1998. "Order Flow Composition and Trading Costs in Dynamic Limit Order Markets," CEPR Discussion Papers 1817, C.E.P.R. Discussion Papers.
    2. Thierry Foucault & Ohad Kadan & Eugene Kandel, 2005. "Limit Order Book as a Market for Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 18(4), pages 1171-1217.
    3. Burton Hollifield & Robert A. Miller & Patrik Sandås & Joshua Slive, 2006. "Estimating the Gains from Trade in Limit‐Order Markets," Journal of Finance, American Finance Association, vol. 61(6), pages 2753-2804, December.
    4. Thierry Foucault & Johan Hombert & Ioanid Roşu, 2016. "News Trading and Speed," Journal of Finance, American Finance Association, vol. 71(1), pages 335-382, February.
    5. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    6. Pakes, Ariel & McGuire, Paul, 2001. "Stochastic Algorithms, Symmetric Markov Perfect Equilibrium, and the 'Curse' of Dimensionality," Econometrica, Econometric Society, vol. 69(5), pages 1261-1281, September.
    7. Parlour, Christine A, 1998. "Price Dynamics in Limit Order Markets," Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 789-816.
    8. Albert J. Menkveld & Marius A. Zoican, 2017. "Need for Speed? Exchange Latency and Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 30(4), pages 1188-1228.
    9. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    10. Goettler, Ronald L. & Parlour, Christine A. & Rajan, Uday, 2009. "Informed traders and limit order markets," Journal of Financial Economics, Elsevier, vol. 93(1), pages 67-87, July.
    11. 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.
    12. Maskin, Eric & Tirole, Jean, 2001. "Markov Perfect Equilibrium: I. Observable Actions," Journal of Economic Theory, Elsevier, vol. 100(2), pages 191-219, October.
    13. Jean†Edouard Colliard & Peter Hoffmann, 2017. "Financial Transaction Taxes, Market Composition, and Liquidity," Journal of Finance, American Finance Association, vol. 72(6), pages 2685-2716, December.
    14. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014. "High-Frequency Trading and Price Discovery," Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
    15. Ekkehart Boehmer & Dan Li & Gideon Saar, 2018. "The Competitive Landscape of High-Frequency Trading Firms," Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2227-2276.
    16. Breckenfelder, Johannes, 2013. "Competition between high-frequency traders, and market quality," MPRA Paper 66715, University Library of Munich, Germany, revised Dec 2013.
    17. Ronald L. Goettler & Christine A. Parlour & Uday Rajan, 2005. "Equilibrium in a Dynamic Limit Order Market," Journal of Finance, American Finance Association, vol. 60(5), pages 2149-2192, October.
    18. Hagströmer, Björn & Nordén, Lars, 2013. "The diversity of high-frequency traders," Journal of Financial Markets, Elsevier, vol. 16(4), pages 741-770.
    19. 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.
    20. Foucault, Thierry, 1999. "Order flow composition and trading costs in a dynamic limit order market1," Journal of Financial Markets, Elsevier, vol. 2(2), pages 99-134, May.
    21. Hoffmann, Peter, 2014. "A dynamic limit order market with fast and slow traders," Journal of Financial Economics, Elsevier, vol. 113(1), pages 156-169.
    22. Pankaj K. Jain, 2005. "Financial Market Design and the Equity Premium: Electronic versus Floor Trading," Journal of Finance, American Finance Association, vol. 60(6), pages 2955-2985, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ladley, Daniel, 2020. "The high frequency trade off between speed and sophistication," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).

    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. 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.
    2. Markus Baldauf & Joshua Mollner, 2020. "High‐Frequency Trading and Market Performance," Journal of Finance, American Finance Association, vol. 75(3), pages 1495-1526, June.
    3. Sida Li & Xin Wang & Mao Ye, 2019. "Who Provides Liquidity, and When?," NBER Working Papers 25972, National Bureau of Economic Research, Inc.
    4. Park, Seongkyu Gilbert & Ryu, Doojin, 2019. "Speed and trading behavior in an order-driven market," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 145-164.
    5. Degryse, Hans & Karagiannis, Nikolaos, 2019. "Priority Rules," CEPR Discussion Papers 14127, C.E.P.R. Discussion Papers.
    6. Goettler, Ronald L. & Parlour, Christine A. & Rajan, Uday, 2009. "Informed traders and limit order markets," Journal of Financial Economics, Elsevier, vol. 93(1), pages 67-87, July.
    7. Georges Dionne & Xiaozhou Zhou, 2020. "The dynamics of ex-ante weighted spread: an empirical analysis," Quantitative Finance, Taylor & Francis Journals, vol. 20(4), pages 593-617, April.
    8. Roberto Riccò & Barbara Rindi & Duane J. Seppi, 2020. "Information, Liquidity, and Dynamic Limit Order Markets," Working Papers 660, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    9. Alain P. Chaboud & Erik Hjalmarsson & Filip Zikes, 2020. "The Evolution of Price Discovery in an Electronic Market," Finance and Economics Discussion Series 2020-051, Board of Governors of the Federal Reserve System (U.S.).
    10. Fabrice Rousseau & Herve Boco & Laurent Germain, 2020. "High Frequency Trading: Strategic Competition Between Slow and Fast Traders," Economics, Finance and Accounting Department Working Paper Series n296-20.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
    11. Buti, Sabrina & Rindi, Barbara, 2013. "Undisclosed orders and optimal submission strategies in a limit order market," Journal of Financial Economics, Elsevier, vol. 109(3), pages 797-812.
    12. 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.
    13. Bayar, Onur, 2013. "Liquidity provision in a limit order book without adverse selection," Journal of Economics and Business, Elsevier, vol. 66(C), pages 98-124.
    14. 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.
    15. Paolo Pellizzari, 2011. "Optimal trading in a limit order book using linear strategies," Working Papers 2011_16, Department of Economics, University of Venice "Ca' Foscari", revised Sep 2011.
    16. Chiarella, Carl & Ladley, Daniel, 2016. "Chasing trends at the micro-level: The effect of technical trading on order book dynamics," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 119-131.
    17. Menkhoff, Lukas & Osler, Carol L. & Schmeling, Maik, 2010. "Limit-order submission strategies under asymmetric information," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2665-2677, November.
    18. Mazza, Paolo, 2015. "Price dynamics and market liquidity: An intraday event study on Euronext," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 139-153.
    19. Haoxiang Zhu, 2014. "Do Dark Pools Harm Price Discovery?," Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 747-789.
    20. Degryse, H.A. & van Achter, M. & Wuyts, G., 2012. "Internalization, Clearing and Settlement, and Liquidity," Other publications TiSEM 3744cb8d-b4ce-47a1-9abd-f, Tilburg University, School of Economics and Management.

    More about this item

    Keywords

    Make-take decisions; High-frequency trading competition; Limit order market; Market quality; Welfare;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • 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:eee:finmar:v:45:y:2019:i:c:p:1-18. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Haili He). General contact details of provider: http://www.elsevier.com/locate/finmar .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.