Matrix representations of Wiener–Hopf factorisations for Lévy processes

Abstract The Wiener–Hopf factors of a Lévy process are the maximum and the displacement from the maximum at an independent exponential time. The majority of explicit solutions assume the upward jumps to be either phase-type or to have a rational Laplace transform, in which case the traditional expressions are lengthy expansions in terms of roots located by means of Rouché’s theorem. As an alternative, compact matrix formulas are derived, with parameters computable by iteration schemes.

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Publication Details

Journal
Journal of Applied Probability
Published
2025-03-05
DOI
https://doi.org/10.1017/jpr.2024.112
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
2.21
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article

Matrix representations of Wiener–Hopf factorisations for Lévy processes

Mogens Bladt, Søren Asmussen
1 citations
Journal of Applied Probability
Stochastic processes and financial applications
2.21
article

Matrix representations of Wiener–Hopf factorisations for Lévy processes

Mogens Bladt, Søren Asmussen
article en
1 citations

Abstract

Abstract The Wiener–Hopf factors of a Lévy process are the maximum and the displacement from the maximum at an independent exponential time. The majority of explicit solutions assume the upward jumps to be either phase-type or to have a rational Laplace transform, in which case the traditional expressions are lengthy expansions in terms of roots located by means of Rouché’s theorem. As an alternative, compact matrix formulas are derived, with parameters computable by iteration schemes.

Journal of Applied ProbabilityVol. 62(3)
University of Copenhagen (DK), Aarhus University (DK)
Openalex Percentile: Top 12%
Stochastic processes and financial applications
2.21
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