We propose a copula-based periodic mixed frequency generalized autoregressive (GAS) framework in order to model and forecast the intraday exposure conditional value at risk (ECoVaR) for an asset return corresponding market return. In particular, we analyze GAS models that account long-memory-type of dependencies, periodicities, asymmetric nonlinear dependence structures, fat-tailed distribution...