Abstract
ARMA modeling of many economic time series leads to processes with heavy-tailed marginal distribution. We present methods of estimating the parameters of such processes. Asymptotic properties of the full information maximum likelihood and partially adaptive estimates are discussed. We give an asymptotic description of the estimation error process in both cases. The results are generalizations of (Philips, 1994) and (Gerencsér, 1990).
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