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Investor structure and the price–volume relationship in a continuous double auction market: An agent-based modeling perspective

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  • Zhang, Wei
  • Bi, Zhengzheng
  • Shen, Dehua

Abstract

This paper investigates the impact of investor structure on the price–volume relationship by simulating a continuous double auction market. Connected with the underlying mechanisms of the price–volume relationship, i.e., the Mixture of Distribution Hypothesis (MDH) and the Sequential Information Arrival Hypothesis (SIAH), the simulation results show that: (1) there exists a strong lead-lag relationship between the return volatility and trading volume when the number of informed investors is close to the number of uninformed investors in the market; (2) as more and more informed investors entering the market, the lead-lag relationship becomes weaker and weaker, while the contemporaneous relationship between the return volatility and trading volume becomes more prominent; (3) when the informed investors are in absolute majority, the market can achieve the new equilibrium immediately. Therefore, we can conclude that the investor structure is a key factor in affecting the price–volume relationship.

Suggested Citation

  • Zhang, Wei & Bi, Zhengzheng & Shen, Dehua, 2017. "Investor structure and the price–volume relationship in a continuous double auction market: An agent-based modeling perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 345-355.
    • Handle: RePEc:eee:phsmap:v:467:y:2017:i:c:p:345-355
    DOI: 10.1016/j.physa.2016.10.044
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    References listed on IDEAS

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    Cited by:

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    3. Roberto Mota Navarro & Hernán Larralde, 2017. "A detailed heterogeneous agent model for a single asset financial market with trading via an order book," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-27, February.
    4. Ruwei Zhao & Xiong Xiong & Dehua Shen & Wei Zhang, 2019. "Investor Structure and Stock Price Crash Risk in a Continuous Double Auction Market: An Agent-Based Perspective," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 695-715, March.
    5. Songtao Wu & Jianmin He & Chao Wang, 2017. "Effects of Common Factors on Dynamics of Stocks Traded by Investors with Limited Information Capacity," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-15, September.
    6. Shoudong Chen & Yan-lin Sun & Yang Liu, 2018. "Forecast of stock price fluctuation based on the perspective of volume information in stock and exchange market," China Finance Review International, Emerald Group Publishing Limited, vol. 8(3), pages 297-314, May.

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