首页 | 本学科首页   官方微博 | 高级检索  
     检索      

多元条件高阶矩波动性建模
引用本文:许启发,张世英.多元条件高阶矩波动性建模[J].系统工程学报,2007,22(1):1-8,33.
作者姓名:许启发  张世英
作者单位:天津大学管理学院,天津,300072
基金项目:国家自然科学基金;航空基础科学基金
摘    要:类似于二阶矩风险(方差风险)的时变性,高阶矩风险也具有时变性.同时,为讨论多个市场或多个金融资产对应高阶矩风险之间的关系,需要建立多元条件高阶矩波动模型.提出了多元GARCHSK模型并给出其向量表达,用独立成分分解技术来解决多元GARCHSK建模中的“维数灾难”问题,给出多元条件高阶矩波动率的估计方法.最后,利用该模型对我国股市4个主要股指的高阶矩风险进行了动态描述.

关 键 词:高阶矩  多元GARCHSK模型  Gram-Charlier展开  独立成分分解  时变风险
文章编号:1000-5781(2007)01-0001-08
收稿时间:2005-12-29
修稿时间:2005-12-292006-10-26

Multivariate conditional higher moments volatility modeling
XU Qi-fa,ZHANG Shi-ying.Multivariate conditional higher moments volatility modeling[J].Journal of Systems Engineering,2007,22(1):1-8,33.
Authors:XU Qi-fa  ZHANG Shi-ying
Institution:School of Management, Tianjin University, Tianjin 300072, China
Abstract:Higher moments risk has the time-varying character,which is similar to the character of the second moments risk,i.e.variance risk.To reveal the relationship between higher moments risk in different markets or different financial assets at the same time,it is necessary to establish multivariate conditional higher moments volatility model.Multivariate GARCHSK model and its vector expression are proposed in the paper.Based independent component analysis,estimation method for multivariate conditional higher moments volatility is discussed in detail to solve the problem of "dimension disaster" in multivariate GARCHSK modeling.Finally,the model is applied to describe the dynamic higher moments risk of the four main stock indexes in Chinese stock market.
Keywords:higher moments  multivariate GARCHSK model  GramCharlire series expansion  independent component analysis  time-varying risk
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号