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向量GARCH模型的非线性协同持续
引用本文:刘丹红,徐正国,张世英.向量GARCH模型的非线性协同持续[J].系统工程,2004,22(6):33-38.
作者姓名:刘丹红  徐正国  张世英
作者单位:1. 天津大学,理学院,天津,300072
2. 天津大学,管理学院,天津,300072
基金项目:国家自然科学基金资助项目(70171001),南开大学—天津大学刘徽应用中心资助项目
摘    要:讨论波动持续性的函义,介绍向量GARCH模型的持续性及协同持续的定义,来研究上海和深圳股市,发现股市表现很强的持续性,但不存在线性的协同持续。提出非线性协同持续的概念,并提出用小波神经网络逼近非线性协同持续函数,同时证明沪深股市存在非线性协同持续关系。

关 键 词:持续性  协同持续  非线性协同持续  小波神经网络
文章编号:1001-4098(2004)06-0033-06

The Nonlinear Common Persistence of Multivariate GARCH Model
LIU Dan-hong,XU Zheng-guo,ZHANG Shi-ying.The Nonlinear Common Persistence of Multivariate GARCH Model[J].Systems Engineering,2004,22(6):33-38.
Authors:LIU Dan-hong  XU Zheng-guo  ZHANG Shi-ying
Institution:LIU Dan-hong~1,XU Zheng-guo~2,ZHANG Shi-ying~2
Abstract:This paper discusses the signification of persistence in volatility, introduces the definition of the multivariate (GARCH) persistence and the common persistence to study Shanghai and Shenzhen stock markets and find these markets (show) strong persistence, but no linear common persistence. So, this paper gives out the definition of the nonlinear common persistence. We make use of the wavelet neural network to approach the nonlinear common (persistence.) The results also (testify) the nonlinear common persistence of two markets at the same time.
Keywords:Persistence  Common Persistence  Nonlinear Common Persistence  Wavelet Neural Network
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