Skip to main content
Log in

Procedure of test to compare the tail indices

  • Published:
Annals of the Institute of Statistical Mathematics Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Butucea C., Tribouley K. (2006) Nonparametric homogeneity tests. Journal of Statistical Planning and Inference 3: 597–639

    Article  MathSciNet  Google Scholar 

  • 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

    Article  MATH  MathSciNet  Google Scholar 

  • 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

    Article  MATH  MathSciNet  Google Scholar 

  • 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

    MATH  MathSciNet  Google Scholar 

  • 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

    Article  MathSciNet  Google Scholar 

  • de Haan L., Peng L. (1998) Comparison of tail index estimators. Statistica Neerlandica 52: 60–70

    Article  MATH  MathSciNet  Google Scholar 

  • Hall P., Welsh A. (1985) Adaptive estimates of parameters of regular variation. The Annals of Statistics 13: 331–341

    Article  MATH  MathSciNet  Google Scholar 

  • Hill B.M. (1975) A simple general approach to inference about the tail of a distribution. The Annals of Statistics 3: 1163–1174

    Article  MATH  MathSciNet  Google Scholar 

  • 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

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mathilde Mougeot.

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

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10463-008-0198-9

Keywords

Navigation