A Study Of Application Of Multi-Agent Simulation In Financial Market

With the development of science and technology during the 21st century, many questions did not be solved using traditional method of balance, linear and stability. We should use the method of non-linear non-balance and dynamics to solve it. So the study of complexity has taken the important position in scientific research fields. For the sake of the special position of finance market in economic system, the study of financial system is important in the study of complexity. Because of that, this thesis will focus on the research in complexity of financial market, and try to use simulation technology to solve the questions of complexity in financial market.Financial market is a typical complex system, and its complex phenomena found expressions in the complexity of financial variable and abnormal phenomena of market. This thesis will regard the financial market as a complex nonlinear system. Using the simulation technology to simulate the behavior of agents and the whole financial system. Agent-based modeling theory and method are applied to study on the complexity of financial market.The first part of this thesis expounds the complex system and the complexity of financial market; the second part generalizes the theory of multi-agent system modeling and landmark research work of multi-agent-based modeling in financial field; the third part researches particularly that how to use multi-agent-based modeling theory and method to describe and solve the complex questions in Artificial Stock Market. The simulation and analysis for financial market complex system show that the price s fluctuation of financial market is not a derivative thing. It is because of the inside motive that investors change their investment strategies. The expectation of investors and the rate of that investors change their strategies are determinate factors of the complexity of financial market. The forth part inquires the development trends of multi-agent-based modeling and simulation in financial research field.