Extreme value theory based confidence intervals for the parameters of a symmetric Lévy-stable distribution

Abstract

We exploit the asymptotic normality of the extreme value theory (EVT) based estimators of the parameters of a symmetric Lévy-stable distribution, to construct confidence intervals. The accuracy of these intervals is evaluated through a simulation study.