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多维波动模型的因果关系分析 被引量:1

Analysis of Causality in Multivariate Volatility Models
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摘要 在Comte等关于二阶(非)因果关系的基础上,探讨了FF-GARCH模型、(G)O-GARCH模型、Hadamard乘积GARCH模型的波动(非)因果关系条件,为更好理解所得结论,给出了二维情况下的表达。同时,对多维SV模型也进行了分析。 In this paper, we study the conditions of no existing causal relationship about FF-GARCH model, (G)O-GARCH models, Hadamard product GARCH model, and especially, for the sake of under- standing these conditions, also pay attention to those bivariate case based on Comte and Lieberman's work. In addition, we discuss the conditions of multivariate stochastic variance (SV) model. All conclusions aboveare helpful for understanding the machine of financial market volatility.
作者 杜子平 张维
出处 《系统管理学报》 北大核心 2007年第2期156-159,共4页 Journal of Systems & Management
基金 国家自然科学基金资助项目(70471051 70471062) 中国博士后科学基金资助项目(2004035520) 天津科技大学引进人才基金资助项目
关键词 因果关系 GARCH模型 SV模型 causality GARCH model stochastic variance model
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参考文献10

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二级参考文献21

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