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Stock trading dynamics and pedestrian counterflows: Analogies and differences

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Listed:
  • Tang, Zhenpeng
  • Ran, Meng
  • Zhao, Yongxiang

Abstract

This paper contrasts stock trading dynamics with pedestrian counterflow movements. We apply the social force model built on pedestrian movement patterns to examine micro characteristics of the Chinese stock market. Utilizing one-minute high frequency stock trading data of the Shanghai Composite Index between 2014 and 2017, we find that stock trading dynamics under loose, prudent and austerity monetary policies closely resemble pedestrian movement patterns under wide, moderate, and narrow door width, respectively. In addition, we find that stock trading patterns with unbalanced buyers and sellers correspond to pedestrian counterflows with unbalanced flows from one side of the door to the other. Our results also show that stock trading patterns under various trading volumes are similar to pedestrian counterflows with different flow rates. In general, our results indicate that stock trading patterns are influenced by investor behaviors and conflicting interests similar to those present in the social force model of pedestrian counterflows. Thus, examining the behavioral mechanism at play in these self-driven systems will generate important insights for the behavioral foundation of financial markets.

Suggested Citation

  • Tang, Zhenpeng & Ran, Meng & Zhao, Yongxiang, 2020. "Stock trading dynamics and pedestrian counterflows: Analogies and differences," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:ecofin:v:54:y:2020:i:c:s1062940818305205
    DOI: 10.1016/j.najef.2019.101015
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    References listed on IDEAS

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    1. Hazem Krichene & Mhamed-Ali El-Aroui, 2018. "Artificial stock markets with different maturity levels: simulation of information asymmetry and herd behavior using agent-based and network models," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 511-535, October.
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    4. Laurent E. Calvet & Adlai Fisher, 2008. "Multifractal Volatility: Theory, Forecasting and Pricing," Post-Print hal-00671877, HAL.
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    More about this item

    Keywords

    Stock price dynamics; Pedestrian counterflows; Social force model;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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