Bauwens, Luc; Grigoryeva, Lyudmila; Ortega, Juan-Pablo - 2015
A method capable of estimating richly parametrized versions of the dynamic conditional correlation (DCC) model that go beyond the standard scalar case is presented. The algorithm is based on the maximization of a Gaussian quasi-likelihood using a Bregman-proximal trust-region method that handles...