Skip to main content

On the Economic Effects of Competition between Double Auction Markets

  • Conference paper
Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis (AMEC 2008, TADA 2008)

Abstract

Real market institutions, stock and commodity exchanges for example, do not occur in isolation. The same stocks and commodities may be listed on multiple exchanges, and traders who want to deal in those goods have a choice of markets in which to trade. While there has been extensive research into agent-based trading in individual markets, there is little work on this kind of multiple market scenario. Our work seeks to address this imbalance. In particular, this paper examines how allocative efficiency, the standard measure of a market’s ability to extract surplus, is affected by the presence of multiple markets for the same good. We find that while dividing traders between several small markets typically leads to lower efficiency than grouping them into one large market, the movement of traders between markets, and price incentives for changing markets, can reduce this loss of efficiency.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Berg, J., Forsythe, R., Nelson, F., Rietz, T.: Results from a dozen years of election futures markets research. In: Plott, C., Smith, V. (eds.) Handbook of Experimental Economic Results. Elsevier, Amsterdam (2001)

    Google Scholar 

  2. Bowling, M., Veloso, M.: Multiagent learning using a variable learning rate. Artificial Intelligence 136, 215–250 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  3. http://www.marketbasedcontrol.com/

  4. Cliff, D.: Minimal-intelligence agents for bargaining behaviours in market-based environments. Technical Report HPL-97-91, Hewlett-Packard Research Laboratories (1997)

    Google Scholar 

  5. Cliff, D., Bruten, J.: Less than human: Simple adaptive trading agents for CDA markets. Technical Report HP-97-155, Hewlett-Packard Research Laboratories (1997)

    Google Scholar 

  6. http://www.ideafutures.com/ and http://www.ideosphere.com/

  7. Friedman, D.: The double auction institution: A survey. In: Friedman, D., Rust, J. (eds.) The Double Auction Market: Institutions, Theories and Evidence, pp. 3–25. Perseus Publishing, Cambridge (1993)

    Google Scholar 

  8. Gjerstad, S., Dickhaut, J.: Price formation in double auctions. Games and Economic Behavior 22, 1–29 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  9. Gode, D.K., Sunder, S.: Allocative efficiency of markets with zero-intelligence traders: Market as a partial substitute for individual rationality. Journal of Political Economy 101(1), 119–137 (1993)

    Article  Google Scholar 

  10. http://jcat.sourceforge.net/

  11. Klemperer, P.: How (not) to run auctions: The European 3G telecom auctions. European Economic Review 46, 829–845 (2002)

    Article  Google Scholar 

  12. McMillan, J.: Reinventing the Bazaar: A Natural History of Markets. W. W. Norton & Company (2003)

    Google Scholar 

  13. Miller, M.H., Hawke, J.D., Malkiel, B., Scholes, M.: Findings of the Committee of Inquiry Examining the Events Surrounding (October 19, 1987); Technical report, Chicago Mercantile Exchange (Spring 1988)

    Google Scholar 

  14. Niu, J., Cai, K., Parsons, S., Sklar, E.: Reducing price fluctuation in continuous double auctions through pricing policy and shout improvement. In: Proceedings of the 5th International Conference on Autonomous Agents and Multi-Agent Systems, Hakodate, Japan (2006)

    Google Scholar 

  15. Niu, J., Cai, K., Parsons, S., Sklar, E.: Some preliminary results on competition between markets for automated traders. In: Proceedings of the Workshop on Trading Agent Design and Analysis, Vancouver, BC (2007)

    Google Scholar 

  16. Niu, J., McBurney, P., Gerding, E., Parsons, S.: Characterizing effective auction mechanisms: Insights from the 2007 tac market design competition. In: Proceedings of the 7th International Conference on Autonomous Agents and Multi-Agent Systems, Estoril, Portugal (2008)

    Google Scholar 

  17. Phelps, S., Parsons, S., McBurney, P.: An evolutionary game-theoretic comparison of two double auction markets. In: Faratin, P., Rodríguez-Aguilar, J.A. (eds.) Agent Mediated Electronic Commerce VI: Theories for and Engineering of Distributed Mechanisms and Systems, pp. 101–114. Springer, Heidelberg (2004)

    Google Scholar 

  18. Roth, A.E., Erev, I.: Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term. Games and Economic Behavior 8, 164–212 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  19. Rust, J., Miller, J.H., Palmer, R.: Characterizing effective trading strategies. Journal of Economic Dynamics and Control 18, 61–96 (1994)

    Article  Google Scholar 

  20. Rustichini, A., Satterthwaite, M.A., Williams, S.R.: Convergence to efficiency in a simple market with incomplete information. Econometrica 62(5), 1041–1063 (1994)

    Article  MATH  Google Scholar 

  21. Shah, A., Thomas, S.: David and Goliath: Displacing a primary market. Global Financial Markets 1(1), 14–21 (2000)

    Google Scholar 

  22. Smith, V.L.: An experimental study of competitive market behaviour. Journal of Political Economy 70(2), 111–137 (1962)

    Article  Google Scholar 

  23. Smith, V.L.: Experimental auction markets and the Walrasian hypothesis. The Journal of Political Economy 73(4), 387–393 (1965)

    Article  Google Scholar 

  24. Sutton, R.S., Barto, A.G.: Reinforcement learning: An introduction. MIT Press, Cambridge (1998)

    Google Scholar 

  25. Walia, V., Byde, A., Cliff, D.: Evolving market design in zero-intelligence trader markets. Technical Report HPL-2002-290, Hewlett-Packard Research Laboratories, Bristol, England (2003)

    Google Scholar 

  26. Walsh, W., Das, R., Tesauro, G., Kephart, J.O.: Analyzing complex strategic interactions in multi-agent systems. In: Proceedings of Workshop on Game-Theoretic and Decision-Theoretic Agents (2002)

    Google Scholar 

  27. Zhan, W., Friedman, D.: Markups in double auction markets. Technical report, LEEPS, Department of Economics, University of Santa Cruz (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cai, K., Niu, J., Parsons, S. (2010). On the Economic Effects of Competition between Double Auction Markets. In: Ketter, W., La Poutré, H., Sadeh, N., Shehory, O., Walsh, W. (eds) Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis. AMEC TADA 2008 2008. Lecture Notes in Business Information Processing, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15237-5_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15237-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15236-8

  • Online ISBN: 978-3-642-15237-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics