Papers
Topics
Authors
Recent
2000 character limit reached

On the Small Jumps of Lévy Processes and the Multivariate Dickman Distribution

Published 30 Mar 2024 in math.PR | (2404.00239v1)

Abstract: We develop a Dickman approximation to the small jumps of multivariate L\'evy processes and related stochastic integral processes. Further, we show that the multivariate Dickman distribution is the unique distribution satisfying a certain stability property and that a related stochastic process is self-similar. Along the way we develop applications to non-Gaussian OU-Processes, to the class of generalized multivariate gamma distributions, and to the popular Barndorff-Nielsen and Shephard stochastic volatility model.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (23)
  1. M. Barczy and G. Pap (2006). Portmanteau theorem for unbounded measures. Statistics and Probability Letters, 76(17):1831–1835
  2. Some classes of multivariate infinitely divisible distributions admitting stochastic integral representations. Bernoulli, 12(1):1–33.
  3. O.E. Barndorff-Nielsen and N. Shephard (2001). Non-Gaussian Ornstein-Uhlenbeck-based models and some of their uses in financial economics. Journal of the Royal Statistical Society, Series B, 63(2):167–241.
  4. C. Bhattacharjee and I. Molchanov (2020). Convergence to scale-invariant Poisson processes and applications in Dickman approximation. Electronic Journal of Probability, 25, Article 79.
  5. P. Billingsley (1995). Probability and Measure, 3rd ed. John Wiley & Sons, New York.
  6. S. Cohen and J. Rosiński (2007). Gaussian approximation of multivariate Lévy processes with applications to simulation of tempered stable processes. Bernoulli, 13(1): 195–210.
  7. R. Cont and P. Tankov (2004). Financial Modeling With Jump Processes. Chapman & Hall, Boca Raton.
  8. S. Covo (2009). On approximations of small jumps of subordinators with particular emphasis on a Dickman-type limit. Journal of Applied Probability 46, 732–755.
  9. M. Grabchak (2012). On a new class of tempered stable distributions: Moments and regular variation. Journal of Applied Probability, 49(4):1015–1035.
  10. M. Grabchak (2016). Tempered Stable Distributions: Stochastic Models for Multiscale Processes. Springer, Cham.
  11. M. Grabchak (2020). On the simulation of general tempered stable Ornstein-Uhlenbeck processes. Journal of Statistical Computation and Simulation, 90(6):1057–1081.
  12. M. Grabchak and X. Zhang (2024). Representation and simulation of multivariate Dickman distributions and Vervaat perpetuities. Statistics and Computing, 34(1): Article 28.
  13. O. Kallenberg (2002). Foundations of Modern Probability, 2nd Ed. Springer-Verlag, New York.
  14. M. Maejima and G. Nakahara (2009) A note on new classes of infinitely divisible distributions on ℝdsuperscriptℝ𝑑\mathbb{R}^{d}blackboard_R start_POSTSUPERSCRIPT italic_d end_POSTSUPERSCRIPT. Electronic Communications in Probability, 14, 358–371.
  15. M. Meerschaert and H. Scheffler (2001). Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice. Wiley, New York.
  16. M. Penrose and A. Wade (2004). Random minimal directed spanning trees and Dickman-type distributions. Advances in Applied Probability 36(3):691–714.
  17. V. Pérez-Abreu and R. Stelzer (2014). Infinitely divisible multivariate and matrix gamma distributions. Journal of Multivariate Analysis, 130:155–175.
  18. V. Pipiras and M.S. Taqqu (2008). Small and large scale asymptotics of some Lévy stochastic integrals. Methodology and Computing in Applied Probability, 10(2):299–314.
  19. A. Rocha-Arteaga and K. Sato (2019). Topics in infinitely divisible distributions and Lévy processes, Revised Edition. Springer, Cham.
  20. J. Rosiński and J.L. Sinclair (2010). Generalized tempered stable processes. Banach Center Publications, 90:153–170.
  21. W. Rudin (1976). Principles of Mathematical Analysis 3rd ed. McGraw-Hill, Inc., New York.
  22. K. Sato (1999). Lévy Processes and Infinitely Divisible Distributions. Cambridge University Press, Cambridge.
  23. Y. Xia and M. Grabchak (2022) Estimation and simulation for multivariate tempered stable distributions. Journal of Statistical Computation and Simulation, 92(3):451–475.

Summary

We haven't generated a summary for this paper yet.

Whiteboard

Paper to Video (Beta)

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 1 tweet with 1 like about this paper.