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A dynamic limit order market with fast and slow traders

Listed author(s):
  • Hoffmann, Peter

This paper considers the role of high-frequency trading in a dynamic limit order market. Fast traders׳ ability to revise their quotes quickly after news arrivals helps to reduce the inefficiency that is rooted in the risk of being picked off, which increases trade. However, their presence induces slow traders to strategically submit limit orders with a lower execution probability, thereby reducing trade. Because speed is a source of market power, it enables fast traders to extract rents from other market participants and triggers a costly arms race that reduces social welfare. The model generates a number of testable implications concerning the effects of high-frequency trading in limit order markets.

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File URL: http://www.sciencedirect.com/science/article/pii/S0304405X14000610
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Article provided by Elsevier in its journal Journal of Financial Economics.

Volume (Year): 113 (2014)
Issue (Month): 1 ()
Pages: 156-169

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Handle: RePEc:eee:jfinec:v:113:y:2014:i:1:p:156-169
DOI: 10.1016/j.jfineco.2014.04.002
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/505576

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  1. Biais, Bruno & Foucault, Thierry & Moinas, Sophie, 2015. "Equilibrium fast trading," Journal of Financial Economics, Elsevier, vol. 116(2), pages 292-313.
  2. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2011. "Recent trends in trading activity and market quality," Journal of Financial Economics, Elsevier, vol. 101(2), pages 243-263, August.
  3. Thierry Foucault & Johan Hombert & Ioanid Roşu, 2016. "News Trading and Speed," Journal of Finance, American Finance Association, vol. 71(1), pages 335-382, 02.
  4. Emiliano Pagnotta & Thomas Philippon, 2011. "Competing on Speed," NBER Working Papers 17652, National Bureau of Economic Research, Inc.
  5. Hendershott, Terrence & Riordan, Ryan, 2013. "Algorithmic Trading and the Market for Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(04), pages 1001-1024, August.
  6. Copeland, Thomas E & Galai, Dan, 1983. " Information Effects on the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 38(5), pages 1457-1469, December.
  7. 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.
  8. Jean-Edouard Colliard & Thierry Foucault, 2012. "Trading Fees and Efficiency in Limit Order Markets," Review of Financial Studies, Society for Financial Studies, vol. 25(11), pages 3389-3421.
  9. 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.
  10. Hasbrouck, Joel & Saar, Gideon, 2013. "Low-latency trading," Journal of Financial Markets, Elsevier, vol. 16(4), pages 646-679.
  11. Garvey, Ryan & Wu, Fei, 2010. "Speed, distance, and electronic trading: New evidence on why location matters," Journal of Financial Markets, Elsevier, vol. 13(4), pages 367-396, November.
  12. Hagströmer, Björn & Nordén, Lars, 2013. "The diversity of high-frequency traders," Journal of Financial Markets, Elsevier, vol. 16(4), pages 741-770.
  13. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
  14. 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.
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