Open Access
May 2009 Test for tail index change in stationary time series with Pareto-type marginal distribution
Moosup Kim, Sangyeol Lee
Bernoulli 15(2): 325-356 (May 2009). DOI: 10.3150/08-BEJ157

Abstract

The tail index, indicating the degree of fatness of the tail distribution, is an important component of extreme value theory since it dominates the asymptotic distribution of extreme values such as the sample maximum. In this paper, we consider the problem of testing for a change in the tail index of time series data. As a test, we employ the cusum test and investigate its null limiting distribution. Further, we derive the null limiting distribution of the cusum test based on the residuals from autoregressive models. Simulation results are provided for illustration.

Citation

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Moosup Kim. Sangyeol Lee. "Test for tail index change in stationary time series with Pareto-type marginal distribution." Bernoulli 15 (2) 325 - 356, May 2009. https://doi.org/10.3150/08-BEJ157

Information

Published: May 2009
First available in Project Euclid: 4 May 2009

zbMATH: 1200.62054
MathSciNet: MR2543865
Digital Object Identifier: 10.3150/08-BEJ157

Keywords: autoregressive process , change point test , CUSUM test , Extreme value theory , Hill’s estimator , mixing condition , tail index , tail sequential process

Rights: Copyright © 2009 Bernoulli Society for Mathematical Statistics and Probability

Vol.15 • No. 2 • May 2009
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