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作 者:YANG Chunxia WANG Jie ZHOU Tao LIU Jun XU Min ZHOU Peiling WANG Binghong
机构地区:[1]Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230026, China [2]Department of Modem Physics, University of Science and Technology of China, Hefei 230026, China [3]Graduate Program of Bioengineering, National University of Singapore, Singapore
出 处:《Chinese Science Bulletin》2005年第19期2140-2144,共5页
基 金:Th is work was supported by the National Natural Science Foundation of China (Grant Nos. 70171053. 70271070,70471033& 10472ll61);the Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP No.20020358009); the Foundation for Graduate Students of University of Science and Tech—nology of China(Grant No.KD 200408).
摘 要:Starting with the self-organized evolution of the trader group’s structure, a parsimonious percolation model for stock market is established, which can be considered as a kind of betterment of the Cont-Bouchaud model. The return distribution of the present model obeys Lévy form in the center and displays fat-tail property, in accord with the styl-ized facts observed in real-life financial time series. Fur-thermore, this model reveals the power-law relationship be-tween the peak value of the probability distribution and the time scales, in agreement with the empirical studies on the Hang Seng Index.Starting with the self-organized evolution of the trader group's structure, a parsimonious percolation model for stock market is established, which can be considered as a kind of betterment of the Cont-Bouchaud model. The return distribution of the present model obeys Lévy form in the center and displays fat-tail property, in accord with the stylized facts observed in real-life financial time series. Furthermore, this model reveals the power-law relationship between the peak value of the probability distribution and the time scales, in agreement with the empirical studies on the Hang Seng Index.
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