Title :
Nonlinear Structure in Shanghai Stock Index
Author_Institution :
Sch. of Stat., Shandong Inst. of Bus. & Technol., Yantai, China
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;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.271