title: Nonlinear multi-analysis of agent-based financial market dynamics by epidemic system.
abstract: Based on the epidemic dynamical system, we construct a new agent-based financial time series model. In order to check and testify its rationality, we compare the statistical properties of the time series model with the real stock market indices, Shanghai Stock Exchange Composite Index and Shenzhen Stock Exchange Component Index. For analyzing the statistical properties, we combine the multi-parameter analysis with the tail distribution analysis, the modified rescaled range analysis, and the multifractal detrended fluctuation analysis. For a better perspective, the three-dimensional diagrams are used to present the analysis results. The empirical research in this paper indicates that the long-range dependence property and the multifractal phenomenon exist in the real returns and the proposed model. Therefore, the new agent-based financial model can recurrence some important features of real stock markets.
authors.affiliation: School of Science, Beijing Jiaotong University, Beijing 100044, People's Republic of China.
authors.forename: Yunfan
authors.initials: Y
authors.lastname: Lu
authors.affiliation: School of Science, Beijing Jiaotong University, Beijing 100044, People's Republic of China.
authors.forename: Jun
authors.initials: J
authors.lastname: Wang
authors.affiliation: School of Science, Beijing Jiaotong University, Beijing 100044, People's Republic of China.
authors.forename: Hongli
authors.initials: H
authors.lastname: Niu