This paper aims to study data driven model selection criteria for a large class of time series, which includes ARMA or AR(∞) processes, as well GARCH ARCH(∞), APARCH and many others processes. We tackled the challenging issue designing adaptive enjoys strong consistency property. When observations are generated from one aforementioned models, new criteria, select true almost surely asymptotical...