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Liquidity Cycles and Make/Take Fees in Electronic Markets

Author

Listed:
  • THIERRY FOUCAULT
  • OHAD KADAN
  • EUGENE KANDEL

Abstract

In this paper, the authors develop a dynamic model of trading with two specialized sides: traders posting quotes (“market makers”) and traders hitting quotes (“market takers”). Traders monitor the market to seize profit opportunities, generating high frequency make/take liquidity cycles. Monitoring decisions by market-makers and market-takers are self-reinforcing, generating multiple equilibria with differing liquidity levels and duration clustering. The trading rate is typically maximized when makers and takers are charged different fees or even paid rebates, as observed in reality. The model yields several empirical implications regarding the determinants of make/take fees, the trading rate, the bid-ask spread, and the effect of algorithmic trading on these variables. Finally, algorithmic trading can improve welfare because it increases the rate at which gains from trade are realized.
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Suggested Citation

  • Thierry Foucault & Ohad Kadan & Eugene Kandel, 2013. "Liquidity Cycles and Make/Take Fees in Electronic Markets," Journal of Finance, American Finance Association, vol. 68(1), pages 299-341, February.
  • Handle: RePEc:bla:jfinan:v:68:y:2013:i:1:p:299-341
    DOI: j.1540-6261.2012.01801.x
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    File URL: http://hdl.handle.net/10.1111/j.1540-6261.2012.01801.x
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    1. Burton Hollifield & Robert A. Miller & Patrik Sandås, 2004. "Empirical Analysis of Limit Order Markets," Review of Economic Studies, Oxford University Press, vol. 71(4), pages 1027-1063.
    2. Hasbrouck, Joel & Saar, Gideon, 2009. "Technology and liquidity provision: The blurring of traditional definitions," Journal of Financial Markets, Elsevier, vol. 12(2), pages 143-172, May.
    3. 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.
    4. Marco Pagano, 1989. "Trading Volume and Asset Liquidity," The Quarterly Journal of Economics, Oxford University Press, vol. 104(2), pages 255-274.
    5. Sandas, Patrik, 2001. "Adverse Selection and Competitive Market Making: Empirical Evidence from a Limit Order Market," Review of Financial Studies, Society for Financial Studies, vol. 14(3), pages 705-734.
    6. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
    7. Easley, David & O'Hara, Maureen & Saar, Gideon, 2001. "How Stock Splits Affect Trading: A Microstructure Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(1), pages 25-51, March.
    8. 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.
    9. Thierry Foucault & Albert J. Menkveld, 2008. "Competition for Order Flow and Smart Order Routing Systems," Journal of Finance, American Finance Association, vol. 63(1), pages 119-158, February.
    10. Hall, Anthony D. & Hautsch, Nikolaus, 2007. "Modelling the buy and sell intensity in a limit order book market," Journal of Financial Markets, Elsevier, vol. 10(3), pages 249-286, August.
    11. Glosten, Lawrence R, 1994. "Is the Electronic Open Limit Order Book Inevitable?," Journal of Finance, American Finance Association, vol. 49(4), pages 1127-1161, September.
    12. James Dow, 2004. "Is Liquidity Self-Fulfilling?," The Journal of Business, University of Chicago Press, vol. 77(4), pages 895-908, October.
    13. Biais, Bruno & Hillion, Pierre & Spatt, Chester, 1995. "An Empirical Analysis of the Limit Order Book and the Order Flow in the Paris Bourse," Journal of Finance, American Finance Association, vol. 50(5), pages 1655-1689, December.
    14. Large, Jeremy, 2007. "Measuring the resiliency of an electronic limit order book," Journal of Financial Markets, Elsevier, vol. 10(1), pages 1-25, February.
    15. 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.
    16. Parlour, Christine A, 1998. "Price Dynamics in Limit Order Markets," Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 789-816.
    17. Easley, David & O'Hara, Maureen, 1992. "Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
    18. Large, Jeremy, 2009. "A market-clearing role for inefficiency on a limit order book," Journal of Financial Economics, Elsevier, vol. 91(1), pages 102-117, January.
    19. Eugene Kandel & Leslie M. Marx, 1999. "Payments for Order Flow on Nasdaq," Journal of Finance, American Finance Association, vol. 54(1), pages 35-66, February.
    20. Sugato Chakravarty & Robert A. Wood & Robert A. Van Ness, 2004. "Decimals And Liquidity: A Study Of The Nyse," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 27(1), pages 75-94, March.
    21. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    22. Angel, James J, 1997. "Tick Size, Share Prices, and Stock Splits," Journal of Finance, American Finance Association, vol. 52(2), pages 655-681, June.
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    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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