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Simple market protocols for efficient risk sharing

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Author Info

  • Marco LiCalzi

    (University of Venice, Italy)

  • Paolo Pellizzari

    (University of Venice, Italy)

Abstract

This paper studies the performance of four market protocols with regard to allocative efficiency and other performance criteria such as volume or volatility. We examine batch auctions, continuous double auctions, specialist dealerships, and a hybrid of these last two. All protocols are practically implementable because the space of messages for traders is simple. We test the protocols by running (computerized) experiments in an environment that controls for traders’ behavior and rules out any informational effect. We find that all protocols generically converge to the efficient allocation in finite time. An extended comparison over other performance criteria produces no clear winner, but the presence of a specialist is clearly associated with the best all-round performance.

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File URL: http://128.118.178.162/eps/fin/papers/0504/0504019.pdf
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Bibliographic Info

Paper provided by EconWPA in its series Finance with number 0504019.

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Length: 29 pages
Date of creation: 26 Apr 2005
Date of revision:
Handle: RePEc:wpa:wuwpfi:0504019

Note: Type of Document - pdf; pages: 29. 29-page PDF document submitted via ftp
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Web page: http://128.118.178.162

Related research

Keywords: market microstructure; allocative efficiency; comparison of market institutions; agent-based simulations.;

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References

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  1. Bottazzi, Giulio & Dosi, Giovanni & Rebesco, Igor, 2005. "Institutional architectures and behavioral ecologies in the dynamics of financial markets," Journal of Mathematical Economics, Elsevier, vol. 41(1-2), pages 197-228, February.
  2. S. Baranzoni & P. Bianchi & L. Lambertini, 2000. "Market Structure," Working Papers 368, Dipartimento Scienze Economiche, Universita' di Bologna.
  3. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
  4. Smith, Vernon L, 1982. "Microeconomic Systems as an Experimental Science," American Economic Review, American Economic Association, vol. 72(5), pages 923-55, December.
  5. Hurwicz, Leonid & Radner, Roy & Reiter, Stanley, 1975. "A Stochastic Decentralized Resource Allocation Process: Part I," Econometrica, Econometric Society, vol. 43(2), pages 187-221, March.
  6. Richard H. Thaler & Eric J. Johnson, 1990. "Gambling with the House Money and Trying to Break Even: The Effects of Prior Outcomes on Risky Choice," Management Science, INFORMS, vol. 36(6), pages 643-660, June.
  7. Mark A. Satterthwaite & Steven R. Williams, 2002. "The Optimality of a Simple Market Mechanism," Econometrica, Econometric Society, vol. 70(5), pages 1841-1863, September.
  8. 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.
  9. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-37, February.
  10. Marco Licalzi & Paolo Pellizzari, 2003. "Fundamentalists clashing over the book: a study of order-driven stock markets," Quantitative Finance, Taylor & Francis Journals, vol. 3(6), pages 470-480.
  11. Tymon Tatur, 2005. "On the Trade off Between Deficit and Inefficiency and the Double Auction with a Fixed Transaction Fee," Econometrica, Econometric Society, vol. 73(2), pages 517-570, 03.
  12. Nicolas Audet & Toni Gravelle & Jing Yang, 2002. "Alternative Trading Systems: Does One Shoe Fit All?," Working Papers 02-33, Bank of Canada.
  13. Marco LiCalzi & Paolo Pellizzari, 2006. "The allocative effectiveness of market protocols under intelligent trading," Working Papers 134, Department of Applied Mathematics, Università Ca' Foscari Venezia.
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Citations

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Cited by:
  1. Anufriev, M. & Panchenko, V., 2007. "Asset Prices, Traders' Behavior, and Market Design," CeNDEF Working Papers 07-14, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  2. Paolo Pellizzari, 2008. "The Toll of Subrational Trading in an Agent Based Economy," Research Paper Series 217, Quantitative Finance Research Centre, University of Technology, Sydney.
  3. Marco LiCalzi & Paolo Pellizzari, 2008. "Zero-Intelligence Trading without Resampling," Working Papers 164, Department of Applied Mathematics, Università Ca' Foscari Venezia.
  4. Paolo Pellizzari & Arianna Dal Forno, 2005. "A comparison of different trading protocols in an agent-based market," Computational Economics 0511001, EconWPA.
  5. Marco LiCalzi & Paolo Pellizzari, 2006. "The allocative effectiveness of market protocols under intelligent trading," Working Papers 134, Department of Applied Mathematics, Università Ca' Foscari Venezia.
  6. Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2008. "Allocative efficiency and traders' protection under zero intelligence behavior," Working Papers 168, Department of Applied Mathematics, Università Ca' Foscari Venezia, revised Nov 2009.
  7. Dan Ladley & Klaus Reiner Schenk-Hoppe, 2007. "Do Stylised Facts of Order Book Markets Need Strategic Behaviour?," Swiss Finance Institute Research Paper Series 07-20, Swiss Finance Institute.

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