DCC GARCH, different sets of regressors in variance equation
Posted: Tue Mar 08, 2011 2:37 pm
Is there any way to estimate a DCC GARCH model with different sets of regressors in the variance equations? The code for my attempt to do so is in the attached file. It's a modification of the example file "garchmvdcc2.prg."
The problem comes at the end, when the "garch" command is used for one iteration to get the grand covariance matrix. The garch command requires the same set of regressors for all variance equations in multivariate models.
I'm estimating a bivariate system, and I would like to test cross-equation restrictions, too.
The problem comes at the end, when the "garch" command is used for one iteration to get the grand covariance matrix. The garch command requires the same set of regressors for all variance equations in multivariate models.
I'm estimating a bivariate system, and I would like to test cross-equation restrictions, too.