Extended Glivenko-Cantelli Theorem in ARCH(p)-time series

摘要

In this paper we consider the uniform strong consistency of nonparametric innovation distribution function estimation in ARCH(p)-time series. We obtain the extended Glivenko-Cantelli Theorem for the residual-based empirical distribution function.