Modeling and Simulation for the Regulation of Trading-Based Market Manipulation in Stock Market Based on Swarm

  • Shuo Liu
Conference paper


Considering the importance of stock market in the national financial system, it requires the market regulator to avoid any illegal behaviors in the market. This paper establishes an agent-based modeling simulation model system based on Swarm in order to study the regulation of trading-based market manipulation carried out by institutional investors. Following the simulation model system establishing, a series of simulation experiments in different market situations are implemented based on the simulation model system. And the experiment results verify the effects of so called “self-adaptive regulation”.


Simulation Regulation Self-adaptability Swarm 


  1. 1.
    Li C (2011) The cases of financial regulation. Xi’an Jiaotong University Press, Xi’anGoogle Scholar
  2. 2.
    Geng ZM (2002) A study of the institutional investors in China. China Renmin University Press, BeijingGoogle Scholar
  3. 3.
    Ren T, Wang WJ (2006) Simulation test for the insurance game model. Res Econ Manag 11:84–89Google Scholar
  4. 4.
    Liu S, Wang WJ (2011) Agencies violations small investors illegal regulatory game simulation. Technoecon Manag Res 6:3–6Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.China Center for Industrial Security ResearchBeijing Jiaotong UniversityBeijingChina
  2. 2.School of Economics and ManagementBeijing Institute of Graphic CommunicationBeijingChina

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