Asymmetric multivariate normal mixture GARCH

Markus Haas, Stefan Mittnik and Marc S. Paolella

No 2008/07, CFS Working Paper Series from Center for Financial Studies (CFS)

Abstract: An asymmetric multivariate generalization of the recently proposed class of normal mixture GARCH models is developed. Issues of parametrization and estimation are discussed. Conditions for covariance stationarity and the existence of the fourth moment are derived, and expressions for the dynamic correlation structure of the process are provided. In an application to stock market returns, it is shown that the disaggregation of the conditional (co)variance process generated by the model provides substantial intuition. Moreover, the model exhibits a strong performance in calculating out-of-sample Value-at-Risk measures.

Keywords: Conditional Volatility; Finite Normal Mixtures; Multivariate GARCH; Leverage Effect (search for similar items in EconPapers)
JEL-codes: C32 C51 G10 G11 (search for similar items in EconPapers)
Date: 2008
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Journal Article: Asymmetric multivariate normal mixture GARCH (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:cfswop:200807

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