DocumentCode
3348203
Title
An evolutionary model of stock market based on percolation theory
Author
Xiaoye Ren ; Chunxia Yang ; Peiling Zhou
Author_Institution
Dept. of Electron. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
Volume
4
fYear
2011
fDate
26-28 July 2011
Firstpage
1950
Lastpage
1953
Abstract
Starting with the self-organized evolution of the trader groups´ structure, a microcosmic model for stock market is established, which is a betterment of the Cont-Bouchaud model. The amender model spontaneously shows more reasonable statistical characteristics than the original one. For instance, the distribution of return obeys the Lévy regime in the central part and follows a power-law at the tail. In Particular, the volatility clustering is present, of which the autocorrelation decays as a power law with an exponent of 0.21 in agreement with that of real stock market. Our improved evolutionary model may contribute to deeply understand the dynamical mechanics and evolution process of financial market.
Keywords
evolutionary computation; statistical distributions; stock markets; Cont-Bouchaud model; Levy regime; autocorrelation decay; evolutionary model; financial market; microcosmic stock market model; percolation theory; power-law distribution; return distribution; volatility clustering; Computational modeling; Correlation; Fluctuations; Indexes; Lattices; Stock markets; Time series analysis; Lévy distribution; financial market model; power lawer; self-organizated percolation; volatility clustering;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022413
Filename
6022413
Link To Document