Fourth Moment Structure of a Family of First-Order Exponential GARCH Models

Changli He, Timo Teräsvirta and Hans Malmsten

No 29, Research Paper Series from Quantitative Finance Research Centre, University of Technology, Sydney

Abstract: In this paper we consider the fourth moment structure of a class of first-order Exponential GARCH models. This class contains as special cases both the standard Exponential GARCH model and the symmetric and asymmetric Logarithmic GARCH one. Conditions for the existence of any arbitrary moment are given. Furthermore, the expressions for the kurtosis and the autocorrelations of squared observations are derived. The properties of the autocorrelations of squared observations are derived. The properties of the autocorrelation structure are discussed and compared to those of the standard first-order GARCH process. In particular, it is seen that, contrary to the standard GARCH case, the decay rate of the autocorrelations is not constant and that the rate can be quite rapid in the beginning, depending on the parameters of the model.

Keywords: autocorrelation function of squared observations; conditional variance model; heavy tails; exponential GARCH; logarithmic GARCH (search for similar items in EconPapers)
JEL-codes: C22 (search for similar items in EconPapers)
Date: 1999-12-01
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Citations: View citations in EconPapers (11)

Published as: He, C., Terasvirta, T. and Malmstein, H., 2002, "Moment Structure Of A Family Of First-Order Exponential Garch Models", Economic Theory, 18(4), 868-885.

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Working Paper: Fourth Moment Structure of a Family of First-Order Exponential GARCH Models (1999)
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Persistent link: https://EconPapers.repec.org/RePEc:uts:rpaper:29

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