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Estimating the Gains From Trade in Limit Order Markets

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  • Hollifield, Burton
  • Miller, Robert A.
  • Sandås, Patrik
  • Slive, Joshua

Abstract

We present a method for identifying and estimating the gains from trade in limit order markets and provide new empirical evidence that the limit order market is a good market design. The gains from trade in our model arise because traders have different valuations for the stock. We use observations on the traders’ order submissions and the execution and cancellation histories of the traders’ order submissions to estimate the distribution of traders’ unobserved valuations for the stock. We use the parameter estimates for our model to compute the current gains from trade in the limit order market and the gains from trade that the traders would attain in a perfectly liquid market.

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Bibliographic Info

Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 4432.

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Date of creation: Jun 2004
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Handle: RePEc:cpr:ceprdp:4432

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Keywords: allocative efficiency; discrete choice; gains from trade; limit order markets;

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Cited by:
  1. Hans Degryse & Mark Van Achter & Gunther Wuyts, 2007. "Dynamic order submission strategies with competition between a dealer market and a crossing network," Working Paper Research 121, National Bank of Belgium.
  2. Degryse, H.A. & Achter, M. van & Wuyts, G., 2012. "Internalization, Clearing and Settlement, and Liquidity," Discussion Paper 2012-002, Tilburg University, Center for Economic Research.
  3. 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.
  4. Mao, Wen & Pagano, Michael S., 2011. "Specialists as risk managers: The competition between intermediated and non-intermediated markets," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 51-66, January.
  5. Mika Vaihekoski, 2011. "History of financial research and education in Finland," The European Journal of Finance, Taylor & Francis Journals, vol. 17(5-6), pages 339-354.
  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. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2010. "Limit Order Books," Papers 1012.0349, arXiv.org, revised Apr 2013.
  8. Bogdan Negrea, 2011. "How to Compute the Liquidity Cost in the Orders-Driven Market?," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 3(1), pages 007-019, June.
  9. Vaihekoski, Mika, 2008. "History of finance research and education in Finland: The first thirty years," Research Discussion Papers 18/2008, Bank of Finland.
  10. Lijian Wei & Wei Zhang & Xue-Zhong He & Yongjie Zhang, 2013. "Learning and Information Dissemination in Limit Order Markets," Research Paper Series 333, Quantitative Finance Research Centre, University of Technology, Sydney.
  11. Jung-Wook Kim & Jason Lee & Randall Morck, 2009. "Characteristics of Observed Limit Order Demand and Supply Schedules for Individual Stocks," NBER Working Papers 14733, National Bureau of Economic Research, Inc.
  12. Thomas St?ckl & Michael Kirchler, 2010. "Trading strategies and trading profits in experimental asset markets with cumulative information," Working Papers 2010-09, Faculty of Economics and Statistics, University of Innsbruck.
  13. Sperl, Miriam, 2008. "Quantifying the efficiency of the Xetra LOB market: Detailed recipe," CFS Working Paper Series 2008/21, Center for Financial Studies (CFS).
  14. 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.

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