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Conditional Volatility and Distribution of Exchange Rates: GARCH and FIGARCH Models with NIG Distribution Author info | Abstract | Publisher info | Download info | Related research | Statistics Rehim KiliƧ (Georgia Institute of Technology)
This paper extends the Fractionally integrated GARCH (FIGARCH) model by incorporating Normal Inverse Gaussian Distribution (NIG). The proposed model is flexible and allows one to model time-variation, long memory, fat tails as well as asymmetry and skewness in the distribution of financial returns. GARCH and FIGARCH models for daily log exchange rate returns with Normal, Student's t and NIG error distributions as well as GARCH/FIGARCH-in-mean models with t errors are estimated and compared both in terms of sample fit as well as out-of-the-sample predictive ability in several dimensions. The FIGARCH model with symmetric and asymmetric NIG errors outperform alternatives both in-sample fit and 1-day and 5-day ahead predictions of the quartiles of the exchange rate return distributions.
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Article provided by Berkeley Electronic Press in its journal Studies in Nonlinear Dynamics & Econometrics .
Volume (Year): 11 (2007)
Issue (Month): 3 ()
Pages: 1430-1430
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Keywords: FIGARCH NIG distribution hyperbolic memory exchange rate References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
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