Diagnostic checking in linear processes with infinite variance

We consider empirical autocorrelations of residuals from finite variance autoregressive processes. Unike the finite-variance case, it emerges that the limiting distribution, after suitable normalization, is not always more concentrated around zero when residuals rather than the true innovations are employed.