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Erscheinungsjahr: 
2013
Schriftenreihe/Nr.: 
Tinbergen Institute Discussion Paper No. 13-048/III
Verlag: 
Tinbergen Institute, Amsterdam and Rotterdam
Zusammenfassung: 
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.
Schlagwörter: 
DCC
BEKK
GARCC
Stated representation
Derived model
Conditional covariances
Conditional correlations
Regularity conditions
Moments
Two step estimators
Assumed properties
Asymptotic properties
Filter
Diagnostic check
JEL: 
C18
C32
C58
G17
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
Working Paper
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