Abstract.In this paper we derive the stability conditions in a time series regression model with a particular form of conditional heteroscedasticity. The variables affecting the variance include lagged errors, lagged dependent variables and a forecast variable. In addition to the usual stability conditions in a dynamic model, a condition on the parameters of the heteroscedasticity equation is also required.
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