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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
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    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. 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.
    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. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
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    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

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