Long Memory GARCH Processes: Empirical Evidence from the Tunisian Stock Exchange Market
17 Pages Posted: 8 Apr 2008
Abstract
This paper deals with statistics' and econometrics' properties of fractionally integrated GARCH (FIGARCH). We compare these characteristics with those of traditional models. We insist on the GARCH exponential/IGARCH infinite decrease of volatility impact. Then, we apply it on three Tunisian exchange rate series between 1994 and 2006. As Beine, Laurent and Lecourt (2002), the contributions of the FIGARCH model are extended by accounting for the observed kurtosis through a student-t based maximum likelihood estimation. This estimation improves the goodness of fit properties of this model and may lead to different interest parameters estimates.
Keywords: Long memory, Volatility, persistence, exchange rate
JEL Classification: C13, C22, C52, F31
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