A Generalized Dynamic Conditional Correlation Model: Simulation and Application to Many Assets
A Generalized Dynamic Conditional Correlation Model: Simulation and Application to Many Assets
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DOI：
10.1080/07474930903038834
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发表时间：
2009-07
影响因子：
1.2
通讯作者：
C. Hafner;P. Franses
中科院分区：
文献类型：
--
作者：
C. Hafner;P. Franses
In this article, we put forward a generalization of the Dynamic Conditional Correlation (DCC) Model of Engle (2002). Our model allows for asset-specific correlation sensitivities, which is useful in particular if one aims to summarize a large number of asset returns. We propose two estimation methods, one based on a full likelihood maximization, the other on individual correlation estimates. The resultant generalized DCC (GDCC) model is considered for daily data on 39 U.K. stock returns in the FTSE. We find convincing evidence that the GDCC model improves on the DCC model and also on the CCC model of Bollerslev (1990).
