A Component Model for Dynamic Correlations
University of North Carolina, Chapel Hill - Kenan-Flagler Business School
Robert F. Engle
New York University - Leonard N. Stern School of Business - Department of Economics; National Bureau of Economic Research (NBER); New York University (NYU) - Department of Finance
University of North Carolina (UNC) at Chapel Hill - Department of Economics; University of North Carolina (UNC) at Chapel Hill - Finance Area
February 1, 2009
Journal of Econometrics, Forthcoming
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.
Number of Pages in PDF File: 51Accepted Paper Series
Date posted: March 9, 2009 ; Last revised: September 18, 2012
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