51 Pages Posted: 9 Mar 2009 Last revised: 15 Nov 2013
Date Written: February 1, 2009
The idea of component models for volatility is extended to dynamic correlations. We propose a model of dynamic correlations with a short- and long-run component specification. We call this class of models DCC-MIDAS as the key ingredients are a combination of the Engle (2002) DCC model, the Engle and Lee (1999) component GARCH model to replace the original DCC dynamics with a component specification and the Engle, Ghysels, and Sohn (2006) GARCH-MIDAS component specification that allows us to extract a long-run correlation component via mixed data sampling. We provide a comprehensive econometric analysis of the new class of models, including conditions for positive semi-definiteness, and provide extensive empirical evidence that supports the model specification.
Suggested Citation: Suggested Citation
Colacito, Riccardo and Engle, Robert F. and Ghysels, Eric, A Component Model for Dynamic Correlations (February 1, 2009). Journal of Econometrics, Forthcoming. Available at SSRN: https://ssrn.com/abstract=1354526