• DocumentCode
    507796
  • Title

    Nonlinear Structure in Shanghai Stock Index

  • Author

    Qi-fa, Xu

  • Author_Institution
    Sch. of Stat., Shandong Inst. of Bus. & Technol., Yantai, China
  • Volume
    3
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    629
  • Lastpage
    633
  • Abstract
    The typical character of financial market is nonlinear. The nonlinear structure in financial market is explored through the method of time-series analysis and the theory of nonlinear dynamics. The empirical result shows that return series of Shanghai Stock Index is a little degree of freedom chaos system with self-similar nonlinear structure. The nonlinear structure cannot be simulated adequately by ARCH(4) model, however, GARCH(1,1) and EGARCH(1,1) model can mimic the nonlinear structure better than other models.
  • Keywords
    chaos; stock markets; time series; EGARCH(1,1) model; GARCH(1,1) model; Shanghai stock index; degree of freedom chaos system; financial market nonlinear structure; nonlinear dynamics theory; time-series analysis; Chaos; Fluctuations; Integral equations; Nonlinear dynamical systems; Reflection; Statistical analysis; Statistics; Stock markets; Testing; Time series analysis; ARCH model; BDS statistic; chaos; nonlinear;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.271
  • Filename
    5363120