In this paper, we study the effects caused by the presence of outliers on the identification and estimation of GARCH models. First, we derive the asymptotic biases of the sample autocorrelations of squared observations and their effects on some popular homoscedasticity tests when uncorrelated GARCH series are contaminated by level outliers. Then, we obtain the asymptotic biases of the OLS estimates of the parameters of ARCH(p) models and analyze their finite sample behavior by means of extensive Monte Carlo experiments. The finite sample results are also extended to ML estimates of ARCH(p) and GARCH(1,1) models. The results are illustrated analyzing real series of financial ret
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J. S. Deeble, 1986.
"Comment,"
Australian Economic Review,
The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 19(3), pages 73-74.
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Bollerslev, Tim & Engle, Robert F. & Nelson, Daniel B., 1986.
"Arch models,"
Handbook of Econometrics,
in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 49, pages 2959-3038
Elsevier.
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