Tail expansions for the distribution of the maximum of a random walk with negative drift and regularly varying increments
Let F be a distribution function with negative mean and regularly varying right tail. Under a mild smoothness condition we derive higher order asymptotic expansions for the tail distribution of the maxima of the random walk generated by F. The expansion is based on an expansion for the right Wiener-Hopf factor which we derive first. An application to ruin probabilities is developed.
Year of publication: |
2007
|
---|---|
Authors: | Barbe, Ph. ; McCormick, W.P. ; Zhang, C. |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 117.2007, 12, p. 1835-1847
|
Publisher: |
Elsevier |
Keywords: | Tail expansion Random walk Regularly varying Wiener-Hopf factor Ruin probability |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
The point process approach for fractionally differentiated random walks under heavy traffic
Barbe, Ph., (2012)
-
Barbe, Ph., (2012)
-
An extension of a logarithmic form of Cramér's ruin theorem to some FARIMA and related processes
Barbe, Ph., (2010)
- More ...