We consider the long memory and leverage properties of a model for the conditional variance of an observable stationary sequence, where the conditional variance is the square of an inhomogeneous linear combination of past values of the observable sequence, with square summable weights. This...

We consider the long memory and leverage properties of a model for the conditional variance of an observable stationary sequence, where the conditional variance is the square of an inhomogeneous linear combination of past values of the observable sequence, with square summable weights. This...

We consider the long-memory and leverage properties of a model for the conditional variance V of an observable stationary sequence X, where V is the square of an inhomogeneous linear combination of X, s lt; t, with square summable weights b. This model, which we call linear autoregressive...