Asymmetric CCC Modelling in Multivariate-GARCH with Illustrations of Multivariate Financial Data

被引:1
作者
Park, R. H. [1 ]
Choi, M. S. [1 ]
Hwang, S. Y. [1 ]
机构
[1] Sookmyung Womens Univ, Dept Stat, Seoul 140742, South Korea
关键词
Asymmetric volatility; CCC; multivariate GARCH;
D O I
10.5351/KJAS.2011.24.5.821
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
It has been relatively incomplete in the field of financial time series to adapt asymmetric features to multivariate GARCH processes (McAleer et al., 2009). Retaining constant conditional correlation(CCC) structure, this article pursues to introduce asymmetric GARCH modelling in analysing multivariate volatilities in time series in a practical point of view. Multivariate Korean financial time series are analyzed in detail to compare our theory with conventional methodologies including GARCH and EGARCH.
引用
收藏
页码:821 / 831
页数:11
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