• 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