IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-01400252.html
   My bibliography  Save this paper

Equilibrium fast trading

Author

Listed:
  • Bruno Biais

    (BFP - Biologie du fruit et pathologie - Université Bordeaux Segalen - Bordeaux 2 - INRA - Institut National de la Recherche Agronomique - UB - Université Sciences et Technologies - Bordeaux 1)

  • Thierry Foucault

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

  • Sophie Moinas

    (Finance - CRM - Centre de Recherche en Management - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - IAE - Institut d'Administration des Entreprises - Toulouse - CNRS - Centre National de la Recherche Scientifique)

Abstract

High speed market connections improve investors׳ ability to search for attractive quotes in fragmented markets, raising gains from trade. They also enable fast traders to obtain information before slow traders, generating adverse selection, and thus negative externalities. When investing in fast trading technologies, institutions do not internalize these externalities. Accordingly, they overinvest in equilibrium. Completely banning fast trading is dominated by offering two types of markets: one accepting fast traders, the other banning them. Utilitarian welfare is maximized with (i) a single market type on which fast and slow traders coexist and (ii) Pigovian taxes on investment in the fast trading technology

Suggested Citation

  • Bruno Biais & Thierry Foucault & Sophie Moinas, 2015. "Equilibrium fast trading," Post-Print halshs-01400252, HAL.
    • Handle: RePEc:hal:journl:halshs-01400252
    DOI: 10.1016/j.jfineco.2015.03.004
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Albert J. Menkveld & Boyan Jovanovic, 2010. "Middlemen in Limit Order Markets," 2010 Meeting Papers 955, Society for Economic Dynamics.
    3. Baron, Matthew & Brogaard, Jonathan & Hagströmer, Björn & Kirilenko, Andrei, 2019. "Risk and Return in High-Frequency Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(3), pages 993-1024, June.
    4. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    5. Darrell Duffie, 2012. "Over-The-Counter Markets," Introductory Chapters, in: Dark Markets: Asset Pricing and Information Transmission in Over-the-Counter Markets, Princeton University Press.
    6. Hirshleifer, Jack, 1971. "The Private and Social Value of Information and the Reward to Inventive Activity," American Economic Review, American Economic Association, vol. 61(4), pages 561-574, September.
    7. O'Hara, Maureen & Ye, Mao, 2011. "Is market fragmentation harming market quality?," Journal of Financial Economics, Elsevier, vol. 100(3), pages 459-474, June.
    8. Venky Venkateswaran & Luis Llosa, 2012. "Efficiency With Endogenous Information Choice," 2012 Meeting Papers 660, Society for Economic Dynamics.
    9. Luca Colombo & Gianluca Femminis & Alessandro Pavan, 2014. "Information Acquisition and Welfare," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1438-1483.
    10. Dimitri Vayanos, 1999. "Strategic Trading and Welfare in a Dynamic Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(2), pages 219-254.
    11. Haoxiang Zhu, 2014. "Do Dark Pools Harm Price Discovery?," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 747-789.
    12. Vincent Glode & Richard C. Green & Richard Lowery, 2012. "Financial Expertise as an Arms Race," Journal of Finance, American Finance Association, vol. 67(5), pages 1723-1759, October.
    13. Glode, V. & Green, R.C. & Lowery, R., 2010. "Financial Expertise as an Arms Race," Other publications TiSEM 6316f2ea-660e-4b55-82fc-1, Tilburg University, School of Economics and Management.
    14. Mark Bagnoli & Ted Bergstrom, 2006. "Log-concave probability and its applications," Studies in Economic Theory, in: Charalambos D. Aliprantis & Rosa L. Matzkin & Daniel L. McFadden & James C. Moore & Nicholas C. Yann (ed.), Rationality and Equilibrium, pages 217-241, Springer.
    15. 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.
    16. Glode, V. & Green, R.C. & Lowery, R., 2010. "Financial Expertise as an Arms Race," Other publications TiSEM 7f1ffc85-7ad2-4d99-82a2-b, Tilburg University, School of Economics and Management.
    17. Manzano, Carolina & Vives, Xavier, 2011. "Public and private learning from prices, strategic substitutability and complementarity, and equilibrium multiplicity," Journal of Mathematical Economics, Elsevier, vol. 47(3), pages 346-369.
    18. 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.
    19. Grossman, Sanford J, 1976. "On the Efficiency of Competitive Stock Markets Where Trades Have Diverse Information," Journal of Finance, American Finance Association, vol. 31(2), pages 573-585, May.
    20. Jayant Vivek Ganguli & Liyan Yang, 2009. "Complementarities, Multiplicity, and Supply Information," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 90-115, March.
    21. Xiaojuan Hu & Cheng-Zhong Qin, 2013. "Information acquisition and welfare effect in a model of competitive financial markets," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 54(1), pages 199-210, September.
    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. Pavan, Alessandro & Vives, Xavier, 2015. "Information, Coordination, and Market Frictions: An Introduction," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 407-426.
    2. Delaney, Laura, 2018. "Investment in high-frequency trading technology: A real options approach," European Journal of Operational Research, Elsevier, vol. 270(1), pages 375-385.
    3. Kondor, Péter & Zawadowski, Adam, 2019. "Learning in crowded markets," Journal of Economic Theory, Elsevier, vol. 184(C).
    4. Veldkamp, Laura & Farboodi, Maryam, 2018. "Long Run Growth of Financial Data Technology," CEPR Discussion Papers 13278, C.E.P.R. Discussion Papers.
    5. Arnold, Lutz G. & Zelzner, Sebastian, 2022. "Financial trading versus entrepreneurship: Competition for talent and negative feedback effects," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 186-199.
    6. Delaney, L., 2016. "Equilibrium Investment in High Frequency Trading Technology: A Real Options Approach," Working Papers 15/14, Department of Economics, City University London.
    7. Maryam Farboodi & Laura Veldkamp, 2018. "Long Run Growth of Financial Data Technology," Working Papers 18-09, New York University, Leonard N. Stern School of Business, Department of Economics.
    8. Maryam Farboodi & Laura Veldkamp, 2017. "Long Run Growth of Financial Technology," NBER Working Papers 23457, National Bureau of Economic Research, Inc.
    9. Oliver Linton & Soheil Mahmoodzadeh, 2018. "Implications of High-Frequency Trading for Security Markets," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 237-259, August.
    10. Vayanos, Dimitri & Wang, Jiang, 2013. "Market Liquidity—Theory and Empirical Evidence ," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1289-1361, Elsevier.
    11. Marco Di Maggio & Marco Pagano, 2018. "Financial Disclosure and Market Transparency with Costly Information Processing [Bargaining with incomplete information]," Review of Finance, European Finance Association, vol. 22(1), pages 117-153.
    12. Rahi, Rohit, 2021. "Information acquisition with heterogeneous valuations," Journal of Economic Theory, Elsevier, vol. 191(C).
    13. Jonathan Brogaard & Jing Pan, 2022. "Dark Pool Trading and Information Acquisition," The Review of Financial Studies, Society for Financial Studies, vol. 35(5), pages 2625-2666.
    14. Duffie, Darrell & Malamud, Semyon & Manso, Gustavo, 2015. "Reprint of: Information percolation in segmented markets," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 838-869.
    15. Nicholas Hirschey, 2021. "Do High-Frequency Traders Anticipate Buying and Selling Pressure?," Management Science, INFORMS, vol. 67(6), pages 3321-3345, June.
    16. Glode, Vincent & Opp, Christian C. & Zhang, Xingtan, 2018. "Voluntary disclosure in bilateral transactions," Journal of Economic Theory, Elsevier, vol. 175(C), pages 652-688.
    17. Asano, Koji, 2024. "Ignorant experts and financial fragility," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    18. Kendall, Chad, 2018. "The time cost of information in financial markets," Journal of Economic Theory, Elsevier, vol. 176(C), pages 118-157.
    19. Hatheway, Frank & Kwan, Amy & Zheng, Hui, 2017. "An Empirical Analysis of Market Segmentation on U.S. Equity Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(6), pages 2399-2427, December.
    20. Sánchez Serrano Antonio, 2020. "High-Frequency Trading and Systemic Risk: A Structured Review of Findings and Policies," Review of Economics, De Gruyter, vol. 71(3), pages 169-195, December.

    More about this item

    Keywords

    High-frequency trading; Externalities; Welfare;
    All these keywords.

    JEL classification:

    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • G1 - Financial Economics - - General Financial Markets
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

    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:hal:journl:halshs-01400252. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.