Multivariate Nonlinear Analysis and Prediction of Shanghai Stock Market
This study attempts to characterize and predict stock returns series in Shanghai stock exchange using the concepts of nonlinear dynamical theory. Surrogate data method of multivariate time series shows that all the stock returns time series exhibit nonlinearity. Multivariate nonlinear prediction met...
Saved in:
Main Authors: | Junhai Ma, Lixia Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2008-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2008/526734 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adaptive Fractional Fuzzy Sliding Mode Control for Multivariable Nonlinear Systems
by: Junhai Luo, et al.
Published: (2014-01-01) -
Volatility spillovers and conditional correlations between oil, renewables and stock markets: A multivariate GARCH-in-mean analysis
by: Wenxue Wang, et al.
Published: (2025-01-01) -
Complex Dynamics in Nonlinear Triopoly Market with Different Expectations
by: Junhai Ma, et al.
Published: (2011-01-01) -
Complex Dynamics in a Nonlinear Cobweb Model for Real Estate Market
by: Junhai Ma, et al.
Published: (2007-01-01) -
Combining market-guided patterns and mamba for stock price prediction
by: Yanshuo Chang, et al.
Published: (2025-02-01)