Mathematics – Statistics Theory
Scientific paper
2004-06-22
Annals of Statistics 2004, Vol. 32, No. 2, 633-655
Mathematics
Statistics Theory
Scientific paper
10.1214/009053604000000120
We propose a class of estimators for the parameters of a GARCH(p,q) sequence. We show that our estimators are consistent and asymptotically normal under mild conditions. The quasi-maximum likelihood and the likelihood estimators are discussed in detail. We show that the maximum likelihood estimator is optimal. If the tail of the distribution of the innovations is polynomial, even a quasi-maximum likelihood estimator based on exponential density performs better than the standard normal density-based quasi-likelihood estimator of Lee and Hansen and Lumsdaine.
Berkes István
Horváth Lajos
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