  We examine the asymptotic behaviour of the sample autocovariance in a
continuous-time moving average model with long-range dependence. We show that
it is either asymptotically Rosenblatt distributed or stable distributed. This
shows that results by Horv\'ath and Kokoszka for discrete-time moving average
processes with long memory also hold for continuous-time moving average
processes.
