This paper develops a new class of multivariate models for large-dimensional time-varying covariance matrices, called Cholesky generalized autoregressive score (GAS) models, which are based on the Cholesky decomposition of the covariance matrix and assume that the parameters are score-driven....

This study reflects on the inconsistency of the fixed-design residual bootstrap procedure for GARCH models under dependent innovations. We introduce a novel recursive-design residual block bootstrap procedure to accurately quantify the uncertainty around parameter estimates and volatility...