Garch (1,1) Models with Exogeneously Driven Volatility:Structure and Estimation

Nazim Regnard, Jean-Michel Zakoïan

This paper considers GARCH(1,1) models in which the time-varying coefficients are functions of the realizations of an exogenous stochastic process. Time series generated by this model are in general nonstationary. Necessary and sufficient conditions are given for the existence of non-explosive solutions, and for the existence of moments of these solutions. The asymptotic properties of the quasi-maximum likelihood estimator are derived under mild assumptions and its finite sample properties are investigated by simulations.