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Determining the optimal market structure using near-zero intelligence traders

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  • Xinyang Li
  • Andreas Krause

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  • Xinyang Li & Andreas Krause, 2010. "Determining the optimal market structure using near-zero intelligence traders," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(2), pages 155-167, December.
    • Handle: RePEc:spr:jeicoo:v:5:y:2010:i:2:p:155-167
    DOI: 10.1007/s11403-010-0069-3
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    References listed on IDEAS

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    8. Bak, P. & Paczuski, M. & Shubik, M., 1997. "Price variations in a stock market with many agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 430-453.
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    11. Ho, Thomas S Y & Stoll, Hans R, 1983. "The Dynamics of Dealer Markets under Competition," Journal of Finance, American Finance Association, vol. 38(4), pages 1053-1074, September.
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    13. Pagano, Marco & Roell, Ailsa, 1996. "Transparency and Liquidity: A Comparison of Auction and Dealer Markets with Informed Trading," Journal of Finance, American Finance Association, vol. 51(2), pages 579-611, June.
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    Cited by:

    1. Lu, Dong & Zhan, Yaosong, 2022. "Over-the-counter versus double auction in asset markets with near-zero-intelligence traders," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    2. Xinyang Li & Andreas Krause, 2011. "An evolutionary multi‐objective optimization of trading rules in call markets," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 18(1), pages 1-14, January.
    3. Nathalie Oriol & Iryna Veryzhenko, 2019. "Market structure or traders' behavior? A multi agent model to assess flash crash phenomena and their regulation," Quantitative Finance, Taylor & Francis Journals, vol. 19(7), pages 1075-1092, July.

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