On the longest/shortest negative excursion of a Lévy risk process and related quantities

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Lkabous, M. A., Palmowski, Z.
Natura: Preprint
Pubblicazione: 2024
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866929586209554432
author Lkabous, M. A.
Palmowski, Z.
author_facet Lkabous, M. A.
Palmowski, Z.
contents In this paper, we analyze some distributions involving the longest and shortest negative excursions of spectrally negative Lévy processes using the binomial expansion approach. More specifically, we study the distributions of such excursions and related quantities such as the joint distribution of the shortest and longest negative excursion and their difference (also known as the range) over a random and infinite horizon time. Our results are applied to address new Parisian ruin problems, stochastic ordering and the number near-maximum distress periods showing the superiority of the binomial expansion approach for such cases.
format Preprint
id arxiv_https___arxiv_org_abs_2411_06245
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the longest/shortest negative excursion of a Lévy risk process and related quantities
Lkabous, M. A.
Palmowski, Z.
Probability
In this paper, we analyze some distributions involving the longest and shortest negative excursions of spectrally negative Lévy processes using the binomial expansion approach. More specifically, we study the distributions of such excursions and related quantities such as the joint distribution of the shortest and longest negative excursion and their difference (also known as the range) over a random and infinite horizon time. Our results are applied to address new Parisian ruin problems, stochastic ordering and the number near-maximum distress periods showing the superiority of the binomial expansion approach for such cases.
title On the longest/shortest negative excursion of a Lévy risk process and related quantities
topic Probability
url https://arxiv.org/abs/2411.06245