Skip to main content
Log in

On the Asymptotic Behaviour of Extremes of Observations from a Tempered Stable Distribution

  • Research Article
  • Published:
Journal of the Indian Society for Probability and Statistics Aims and scope Submit manuscript

Abstract

In this article, we obtain the limit distribution of the maxima and minima of independent observations from tempered stable and bilateral gamma distributions, and provide simple closed form expressions for the associated norming constants. We explore the associated near-maxima and near-minima random variables. We also discuss some applications.

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

  • Arnold BC, Balakrishnan N, Nagaraja HN (2008) A first course in order statistics. SIAM. Wiley, Philadelphia

  • Balakrishnan N, Stepanov A (2008) Asymptotic properties of number of near-minimum observations under progressive type-II censoring. J Stat Plann Inference 138:1010–1020

    Article  MathSciNet  Google Scholar 

  • Castillo E, Hadi AS, Balakrishnan N, Sarabia JM (2004) Extreme value and related models with applications in engineering and science. John Wiley, New York

    MATH  Google Scholar 

  • David HA, Nagaraja HN (2003) Order statistics, 3rd edn. John Wiley, New York

    Book  Google Scholar 

  • Edit Rroji, Lorenzo Mercuri (2015) Mixed tempered stable distribution. Quant Fin 15:1559–1569

    Article  MathSciNet  Google Scholar 

  • Embrechts P, Klüppelberg C, Mikosch T (1997) Modelling extremal events for insurance and finance. Springer, Berlin

    Book  Google Scholar 

  • Falk M, Husler J, Reiss RD (1994) Laws of small numbers: extremes and rare events. Birkhauser, Boston, USA

    MATH  Google Scholar 

  • Galambos J (1978) The asymptotic theory of extreme order statistics. John Wiley, New York

    MATH  Google Scholar 

  • Grabchak M (2010) Tempered stable distributions: stochastic models for multiscale processes. Springer Briefs in Mathematics. Springer, New York

    Google Scholar 

  • Hu Z, Su C (2003) Limit theorems for the number and sum of near-maxima for medium tails. Stat Probab Lett 63:229–237

    Article  MathSciNet  Google Scholar 

  • Johnson NL, Kotz S, Balakrishnan N (1994) Continuous univariate distributions, vol 1, 2nd edn. John Wiley, New York

    MATH  Google Scholar 

  • Kim YS, Rachev ST, Chung DM, Bianchi ML (2009) The modified tempered stable distributions, GARCH models and option pricing. Probab Math Stat 29:91–117

    MathSciNet  MATH  Google Scholar 

  • Kleiber C, Kotz S (2003) Statistical size distributions in economics and actuarial sciences. John Wiley, New York

    Book  Google Scholar 

  • Koponen J (1995) Analytic approach to the problem of convergence of truncated Levy flights towards the Gaussian stochastic process. Phys Rev E 52:1197–1199

    Article  Google Scholar 

  • Küchler U, Tappe S (2008) Bilateral Gamma distributions and processes in financial mathematics. Stoch Process Appl 118:261–283

    Article  MathSciNet  Google Scholar 

  • Küchler U, Tappe S (2008) On the shapes of bilateral Gamma densities. Stat Probab Lett 78:2478–2484

    Article  MathSciNet  Google Scholar 

  • Küchler U, Tappe S (2013) Tempered stable distributions and processes. Stoch Process Appl 123:4256–4293

    Article  MathSciNet  Google Scholar 

  • Li Y (1999) A note on the number of records near the maximum. Stat Probab Lett 43:153–158

    Article  MathSciNet  Google Scholar 

  • Mantegna RN, Stanley HE (1994) Stochastic process with ultra slow convergence to a Gaussian: the truncated Levy flights. Phys Rev Lett 73(22):2946–2949

    Article  MathSciNet  Google Scholar 

  • Nagaraja HN, Karthik B, Zhang F (2015) Spacings around an order statistic. Ann Inst Stat Math 67:515–540

    Article  MathSciNet  Google Scholar 

  • Pakes AG, Steutel F (1997) On the number of records near the maximum. Aust J Stat 39:179–192

    Article  MathSciNet  Google Scholar 

  • Pakes AG (2000) The number and sum of near-maxima for thin tailed populations. Adv Appl Probab 32:1100–1116

    Article  MathSciNet  Google Scholar 

  • Resnick SI (1987) Extreme values, regular variation, and point processes. Springer-Verlag, New York

    Book  Google Scholar 

  • Rosinski J (2007) Tempering stable processes. Stoch Process Appl 117:677–707

    Article  MathSciNet  Google Scholar 

  • Sato K, Yamazato M (1978) On distribution functions of class L. Zeitschrift fur Wahrscheinlichkeitheorie und verwandte Gebiete 43:273–308

    Article  MathSciNet  Google Scholar 

  • Vasudeva R, Vasantha Kumari J, Ravi S (2014) On the asymptotic behaviour of extremes and near-maxima of random observations from the General error distributions. J Appl Probab 51:528–541

    Article  MathSciNet  Google Scholar 

  • Weissman I (1978) Estimation of parameters and larger quantiles based on the \(k\) largest obsertions. J Am Stat Assoc 73:812–815

    MATH  Google Scholar 

Download references

Acknowledgements

This work is a part of the Emeritus fellowship project of the first author. He is grateful to the University Grants commission, New Delhi, India, for the support.

The authors thank the referee for his valuable suggestions.

Funding

The authors declare that no financial support has been received from any funding agency.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to R Vasudeva.

Ethics declarations

Conflict of interest

HNN (second author) declares no conflict of interest in this work.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vasudeva, R., Nagaraja, H.N. On the Asymptotic Behaviour of Extremes of Observations from a Tempered Stable Distribution. J Indian Soc Probab Stat 23, 359–374 (2022). https://doi.org/10.1007/s41096-022-00118-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41096-022-00118-5

Keywords

Navigation