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Ten Things You Should Know About DCC

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Caporin, Massimiliano y McAleer, Michael (2013) Ten Things You Should Know About DCC. [ Documentos de Trabajo del Instituto Complutense de Análisis Económico (ICAE); nº 12, 2013, ] (No publicado)

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URL Oficial: http://eprints.ucm.es/20494/


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Resumen

The purpose of the paper is to discuss ten things potential users should know about the limits of the Dynamic Conditional Correlation (DCC) representation for estimating and forecasting time-varying conditional correlations. The reasons given for caution about the use of DCC include the following: DCC represents the dynamic conditional covariances of the standardized residuals, and hence does not yield dynamic conditional correlations; DCC is stated rather than derived; DCC has no moments; DCC does not have testable regularity conditions; DCC yields inconsistent two step estimators; DCC has no asymptotic properties; DCC is not a special case of GARCC, which has testable regularity conditions and standard asymptotic properties; DCC is not dynamic empirically as the effect of news is typically extremely small; DCC cannot be distinguished empirically from diagonal BEKK in small systems; and DCC may be a useful filter or a diagnostic check, but it is not a model.


Tipo de documento:Documento de trabajo o Informe técnico
Palabras clave:DCC, BEKK, GARCC, Stated representation, Derived model, Conditional covariances, Conditional correlations, Regularity conditions, Moments, Two step estimators, Assumed properties, Asymptotic properties, Filter, Diagnostic check.
Materias:Ciencias Sociales > Economía > Econometría
JEL:C18, C32, C58, G17
Título de serie o colección:Documentos de Trabajo del Instituto Complutense de Análisis Económico (ICAE)
Volumen:2013
Número:12
Código ID:20494
Depositado:19 Mar 2013 12:52
Última Modificación:23 Feb 2016 10:10

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