A model for long memory conditional heteroscedasticity

or a particular conditionally heteroscedastic nonlinear (ARCH) process for which the conditional variance of the observable sequence rt is the square of an inhomogeneous linear combination of rs,s<t, we give conditions under which, for integers l.2,rlt has long memory autocorrelation and normalized partial sums of rlt converge to fractional Brownian motion.