Caporin, Massimiliano and McAleer, Michael (2009) Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH. [Working Paper or Technical Report] (Unpublished)
Official URL: http://eprints.ucm.es/8609/
DAMGARCH is a new model that extends the VARMA-GARCH model of Ling and McAleer (2003) by introducing multiple thresholds and time-dependent structure in the asymmetry of the conditional variances. Analytical expressions for the news impact surface implied by the new model are also presented. DAMGARCH models the shocks affecting the conditional variances on the basis of an underlying multivariate distribution. It is possible to model explicitly asset-specific shocks and common innovations by partitioning the multivariate density support. This paper presents the model structure, describes the implementation issues, and provides the conditions for the existence of a unique stationary solution, and for consistency and asymptotic normality of the quasi-maximum likelihood estimators. The paper also presents an empirical example to highlight the usefulness of the new model.
|Item Type:||Working Paper or Technical Report|
|Additional Information:||JEL codes: C32, C51, C52|
|Uncontrolled Keywords:||Multivariate asymmetry, Conditional variance, Stationarity conditions, Asymptotic theory, Multivariate news impact curve.|
|Subjects:||Social sciences > Economics > Econometrics|
|Series Name:||Documentos de trabajo del Instituto Complutense de Análisis Económico (ICAE)|
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|Deposited On:||09 Mar 2009 08:54|
|Last Modified:||06 Feb 2014 08:10|
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