A flexible parametric GARCH model with an application to exchange rates
Chris Fawson (),
Christopher Barrett () and
James McDonald ()
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Kai-Li Wang: Department of International Trade, Tam Kang University, Taiwan, Postal: Department of International Trade, Tam Kang University, Taiwan
Journal of Applied Econometrics, 2001, vol. 16, issue 4, 521-536
Many asset prices, including exchange rates, exhibit periods of stability punctuated by infrequent, substantial, often one-sided adjustments. Statistically, this generates empirical distributions of exchange rate changes that exhibit high peaks, long tails, and skewness. This paper introduces a GARCH model, with a flexible parametric error distribution based on the exponential generalized beta (EGB) family of distributions. Applied to daily US dollar exchange rate data for six major currencies, evidence based on a comparison of actual and predicted higher-order moments and goodness-of-fit tests favours the GARCH-EGB2 model over more conventional GARCH-t and EGARCH-t model alternatives, particularly for exchange rate data characterized by skewness. Copyright © 2001 John Wiley & Sons, Ltd.
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Working Paper: A FLEXIBLE PARAMETRIC GARCH MODEL WITH AN APPLICATION TO EXCHANGE RATES (1998)
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Persistent link: https://EconPapers.repec.org/RePEc:jae:japmet:v:16:y:2001:i:4:p:521-536
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