Estimation of the stability factor of alpha-stable laws using fractional moments method

Authors

  • Вадим Леонидович Шергин Kharkov National University of Radio Electronics Lenina av., 14, Kharkov, Ukraine, 61166, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2013.19176

Keywords:

stable distributions, estimation of stability factor, fractional moments, asymptotic variance of estimates

Abstract

The problem of estimating the stability factor of alpha-stable distributions was considered. Such distributions are widely used in models of stochastic processes, describing a wide class of processes and phenomena.

The analysis of existing methods of the estimation of parameters of stable distributions was carried out. It was noted that stable distributions do not have moments of the second and higher orders. This makes it impossible to use such classical statistical method for the estimation of parameters as the method of moments.

The use of the method of fractional moments for the estimation of parameters of stable distributions is proposed in the paper. The mathematical basis of the method of fractional moments is the theory of Mellin transforms.

The estimates of the required factor were obtained in the exact and approximate forms. The consistency and asymptotic unbiasedness of these estimates were proved, and their asymptotic variance was calculated.

The values of the moments, which minimize the asymptotic variance of estimates of the stability factor, were found. These values depend on the value of the estimated stability factor.

The numerical modeling, which confirmed the obtained results, was conducted

Author Biography

Вадим Леонидович Шергин, Kharkov National University of Radio Electronics Lenina av., 14, Kharkov, Ukraine, 61166

Candidat of technical science, docent

Department of artificial intelligence

References

  1. Гнеденко, Б. В. Пpедельные pаспpеделения для сумм независимых случайных величин [Текст] / Б. В. Гнеденко, А. Н. Колмогоpов – М.–Л.: ГИТТЛ - 1949. –264с.
  2. Золотарев, В. М. Одномерные устойчивые распределения [Текст] / В. М. Золотарев – М., Наука - 1983. –304с.
  3. Fama, E. F. Parameter estimates for symmetric stable distributions [Текст] / E. F. Fama, R. Roll // Journal of the American Statistical Association. – 1971. – №66, с.331-338.
  4. McCulloch, J. H. Simple consistent estimators of stable distribution parameters [Текст] / J. H. McCulloch // Communications in Statistics. Computation and Simulation. – 1986. –№15 - с.1109–1136.
  5. Garcia, R. Estimation of stable distributions with indirect inference [Текст] / R. Garcia, E. Renault, D. Veredas // Journal of Econometrics.–2011.–№161 - с.325-337.
  6. Borak, S. Models for heavy-tailed asset returns [Текст] / S. Borak, A. Misiorek, R. Weron : сб. науч. тр. / SFB 649 Discussion Papers SFB649DP2010-049. – Berlin : Humboldt University, Sonderforschungsbereich 649, – 2010. – 40c.
  7. Hill, B. M. A simple general approach to inference about the tail of a distribution [Текст] / B. M. Hill // Annals of Statistics. – 1975. – №3 - с.1163-1174.
  8. Dufour, J-M. Exact inference and optimal invariant estimation for the tail coefficient of symmetric alpha-stable distributions [Текст] / J-M. Dufour, J-R. Kurz-Kim // Journal of Empirical Finance. – 2010. – Vol.17(2) - с.180-194.
  9. Nolan, J. P. Maximum likelihood estimation of stable parameters distribution [Текст] : сб. науч. тр. / Levy Processes: Theory and Applications – Boston: Birkhauser - 2001. – с.379-400.
  10. Koutrouvelis, I. A. Regression-type estimation of the parameters of stable laws [Текст] / I. A. Koutrouvelis // Journal of the American Statistical Association. – 1980. – №75 - с.918-928.
  11. Chenyao, D. Computing the probability density function of the stable paretian distribution [Текст] / D. Chenyao, S. Mittnik, T. Doganoglu // Mathematical and Computer Modelling. – 1999. – №29, с.235-240.
  12. Учайкин, В. В. Метод дробных производных [Текст] / В. В. Учайкин – Ульяновск: Артишок, 2008. – 512 с.
  13. Nolan, J. P. Stable distributions - models for heavy tailed data [Электрон¬ный ресурс] / Boston: Birkhauser Unfinished manuscript, Chapter 1. – Режим доступа : http://academic2.american.edu/~jpnolan/stable/chap1.pdf – 13.05.2009г.
  14. Gnedenko, B. V., Kolmogorov, A. N. (1954). Limit distributions for sums of independent random variables. Addison-Wesley.
  15. Zolotarev, V.M. (1986). One-dimensional stable distributions. American Mathematical Society.
  16. Fama, E., Roll, R. (1971). Parameter estimates for symmetric stable distributions. Journal of the American Statistical Association, 66, 331-338.
  17. McCulloch, J.H. (1986). Simple consistent estimators of stable distribution parameters. Communications in Statistics, Computation and Simulation, 15, 1109– 1136.
  18. Garcia, R., Renault, E., Veredas, D. (2011). Estimation of stable distributions with indirect inference. Journal of Econometrics, 161, 325-337.
  19. Borak, S., Misiorek, A., Weron, R. (2010). Models for heavy-tailed asset returns. SFB649DP2010-049, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany, 40.
  20. Hill, B. M. (1975). A simple general approach to inference about the tail of a distribution, Annals of Statistics, 3, 1163-1174.
  21. Dufour, J-M., Kurz-Kim J-R. (2010). Exact inference and optimal invariant estimation for the tail coefficient of symmetric alpha-stable distributions. Journal of Empirical Finance, Vol.17(2), 180-194.
  22. Nolan, J. P. (2001). Maximum likelihood estimation of stable parameters. In O. E. Barndorff-Nielsen, T. Mikosch, and S. I. Resnick (Eds.), Levy Processes: Theory and Applications, Boston: Birkhauser, 379-400.
  23. Koutrouvelis, I. A. (1980). Regression-type estimation of the parameters of stable laws, Journal of the American Statistical Association, 75, 918-928.
  24. Chenyao, D., Mittnik, S., Doganoglu, T. (1999). Computing the probability density function of the stable paretian distribution, Mathematical and Computer Modelling, 29, 235-240.
  25. Uchaikin V. V. (2008). Fractional derivatives method. Ulyanovsk, Russia: Artishok, 512.
  26. Nolan, J. P. (2009). Stable distributions models for heavy tailed data. Boston: Birkhauser Unfinished manuscript, Chapter 1. Retrieved from http://academic2.american.edu/~jpnolan/stable/chap1.pdf.

Published

2013-12-16

How to Cite

Шергин, В. Л. (2013). Estimation of the stability factor of alpha-stable laws using fractional moments method. Eastern-European Journal of Enterprise Technologies, 6(4(66), 25–30. https://doi.org/10.15587/1729-4061.2013.19176

Issue

Section

Mathematics and Cybernetics - applied aspects