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Behavior simulation for stock market investors based on the hybrid behavior ant colony algorithm

SUN Yong-zheng1 and LIU Liang2   

  1. 1. School of Science, China University of Mining and Technology, Xuzhou 221008, Jiangsu, China;2. School of Management, Fudan Univ., Shanghai 200433, China
  • Received:2006-12-18 Revised:1900-01-01 Online:2006-10-24 Published:2006-10-24
  • Contact: SUN Yong-zheng

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Abstract: The hybrid behavior ant colony algorithm is applied to study investment behavior in the stock matket. The evolving model for investor behavior in the stock matket is fotmulated based on HBACA. The relation between five kinds of investor behavior is studied for its effects on and stock price and market stability. Then it is simulated by MATLAB. The simulation results and analysis show that the relation is complicated.

Key words: market stability , investment behavior, ant colony algorithm

CLC Number: 

  • N941.14
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