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多元GARCH模型结构特征、参数估计与假设检验研究综述 被引量:16

A Survey of the Structure Properties,Parameters Estimation and Hypothesis Test in Multivariate GARCH Models
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摘要 可以采用多元GARCH模型对金融市场的相关问题进行研究,例如对单个资产收益的波动率和不同资产收益之间的条件协方差矩阵的研究等。本文分别以多元GARCH模型结构特征、参数估计和假设检验等为线索,系统地回顾了国内外对于多元GARCH模型的发展与最新研究成果,并对相关成果进行了分析和评价。最后指出了现在和未来该领域研究的主要方向。 The study of the relations between volatilities and co - volatilities of several markets or assets returns by multivariate GARCH models has been the hot topics in financial econometrics. This paper contains a survey of most important and latest multivariate GARCH models, and their structure properties, parameters esti- mation, hypothesis test are discussed. Finally, the paper presents likely developing trends and directions of future research in the conclusion.
作者 刘志东
机构地区 中央财经大学
出处 《数量经济技术经济研究》 CSSCI 北大核心 2010年第9期147-160,F0003,共15页 Journal of Quantitative & Technological Economics
基金 中央财经大学"211工程"三期 国家自然科学基金项目(编号:70603034 70971145)资助
关键词 多元GARCH 波动率 参数估计 假设检验 Multivariate GARCH Volatility Parameters Estimation Hy-pothesis Test
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参考文献32

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二级参考文献65

  • 1王明进,陈奇志.基于独立成分分解的多元波动率模型[J].管理科学学报,2006,9(5):56-64. 被引量:21
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