Abstract
We propose a test procedure which compares the extreme value indices of two samples with heavy tail distributions. On a theoretical point of view, we adopt the minimax nonparametric point of view. We exhibit the separating rate between the null hypothesis and the alternative of our procedure. Next, we present a data driven test methodology and we evaluate its performance thanks to an extensive simulation study. As a practical real-life application, we compare the risk behaviors of a panel of different financial data.
Similar content being viewed by others
References
Butucea C., Tribouley K. (2006) Nonparametric homogeneity tests. Journal of Statistical Planning and Inference 3: 597–639
Dekkers A., Einmahl J., De Haan L. (1989) A moment estimator for the index of an extreme-value distribution. The Annals of Statistics 17: 1833–1855
Drees H., de Haan L., Li D. (2006) Approximations to the tail empirical distribution function with application to testing extreme value conditions. Journal of Statistical Planning and Inference 136: 3498–3538
Embrechts, P., Klüppelberg, C., Mikosch, T. (1997). Modelling extremal events for insurance and finance. Applications of mathematics (New York) (Vol. 33). Berlin; New York: Springer.
Fraga Alves I., Gomes I., De Haan L. (2003) A new class of semi-parametric estimators of the second order parameter. Portugaliae Mathematica 60: 193–213
Gomes I., Martins J. (2002) Asymptotically Unbiased estimators of the tail index based on external estimation of the second order parameter. Extremes, 5: 1: 5–31
de Haan L., Peng L. (1998) Comparison of tail index estimators. Statistica Neerlandica 52: 60–70
Hall P., Welsh A. (1985) Adaptive estimates of parameters of regular variation. The Annals of Statistics 13: 331–341
Hill B.M. (1975) A simple general approach to inference about the tail of a distribution. The Annals of Statistics 3: 1163–1174
Ingster, Y. (1993). Asymptotically minimax hypothesis testing for nonparametric alternatives, I, II, III. Mathematical Methods of Statistics, 2, 85–114, 171–189, 248–268.
Shorack G.R., Wellner J.A. (1986) Empirical processes with applications to statistics. Wiley, New York
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Mougeot, M., Tribouley, K. Procedure of test to compare the tail indices. Ann Inst Stat Math 62, 383–412 (2010). https://doi.org/10.1007/s10463-008-0198-9
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10463-008-0198-9