PROBLEMS IN ESTIMATION OF VARIANCE MODEL FOR WORLD CURRENCY EXCHANGE RATES
PROBLEMS IN ESTIMATION OF VARIANCE MODEL FOR WORLD CURRENCY EXCHANGE RATES
Abstract
This article presents four ARCH/GARCH models for modeling of the
variance of ten currency exchange rates. The main statistical characteristics of this type of
financial instruments, observed by the researchers, are: low or non-significant
autocorrelation in the returns, significant autocorrelation in squared returns, long-term
memory of the variance, fat tails. The evaluation of the models indicates that not all of the
currency pairs can be modeled correctly with the presented models as close to nonstationary processes are observed, which is not a realistic theoretical set-up
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