On the Ruin Probability of the Generalised Ornstein-Uhlenbeck Process in the Cram\'er Case
Damien Bankowski, Claudia Kl\"uppelberg, Ross Maller

TL;DR
This paper analyzes the ruin probability of a generalized Ornstein-Uhlenbeck process driven by a bivariate Lévy process, providing asymptotic estimates under Cramér conditions for large initial values.
Contribution
It extends previous results by deriving asymptotic estimates for ruin probabilities and ruin times of the GOU process under general conditions with Cramér assumptions.
Findings
Asymptotic estimates for ruin probability as initial value grows large.
Distributional results for the ruin time in the Cramér case.
General conditions under which the estimates hold.
Abstract
For a bivariate \Levy process and initial value define the Generalised Ornstein-Uhlenbeck (GOU) process \[ V_t:=e^{\xi_t}\Big(V_0+\int_0^t e^{-\xi_{s-}}\ud \eta_s\Big),\quad t\ge0,\] and the associated stochastic integral process \[Z_t:=\int_0^t e^{-\xi_{s-}}\ud \eta_s,\quad t\ge0.\] Let and for be the ruin time and infinite horizon ruin probability of the GOU. Our results extend previous work of Nyrhinen (2001) and others to give asymptotic estimates for and the distribution of as , under very general, easily checkable, assumptions, when satisfies a Cram\'er condition.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Random Matrices and Applications
