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A comparison of U.S and Chinese financial market microstructure: heterogeneous agent-based multi-asset artificial stock markets approach

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  • Haijun Yang
  • Harry Wang
  • Gui Sun
  • Li Wang

Abstract

The market microstructure literatures study how the traders work in the financial market. In this paper, we propose a novel heterogeneous agent-based multi-asset artificial stock market based on Santa Fe Artificial Stock Market (SFI-ASM) to compare the financial market microstructure between U.S. and China. We first develop a set of new parameters for the single stock market simulation to improve the way that agents monitor the market and choose different strategies, which make our model closer to the real financial market. Secondly, we construct a multiple assets financial market by incorporating two new types of agents, namely, zero-intelligence agents and less-intelligence agents, and conduct simulations for different evolution speeds, strategies, and intelligence levels to achieve the optimal models of Chinese and U.S. financial markets before and after the financial crisis. Based on the simulation results, we present a comprehensive analysis of the market microstructure for the two financial markets. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Haijun Yang & Harry Wang & Gui Sun & Li Wang, 2015. "A comparison of U.S and Chinese financial market microstructure: heterogeneous agent-based multi-asset artificial stock markets approach," Journal of Evolutionary Economics, Springer, vol. 25(5), pages 901-924, November.
    • Handle: RePEc:spr:joevec:v:25:y:2015:i:5:p:901-924
    DOI: 10.1007/s00191-015-0424-6
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    References listed on IDEAS

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    Cited by:

    1. Haijun Yang & Shuheng Chen, 2018. "A heterogeneous artificial stock market model can benefit people against another financial crisis," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-25, June.
    2. G. Rigatos, 2021. "Statistical Validation of Multi-Agent Financial Models Using the H-Infinity Kalman Filter," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 777-798, October.
    3. Wlademir Prates & Newton Da Costa Jr & Manuel Rocha Armada & Sergio Da Silva, 2019. "Propensity to sell stocks in an artificial stock market," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-12, April.

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    More about this item

    Keywords

    Heterogeneous agent; Agent-based model; Multi-asset artificial stock market; Microstructure; C6; D8; G1;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • G1 - Financial Economics - - General Financial Markets

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