The time of ultimate recovery in Gaussian risk model
Probability
2018-01-09 v1
Abstract
We analyze the distance between the first and the last passage time of at level in time horizon , where is a centered Gaussian process with stationary increments and , given that the first passage time occurred before . Under some tractable assumptions on , we find and such that for . We distinguish two scenarios: and , that lead to qualitatively different asymptotics. The obtained results provide exact asymptotics of the ultimate recovery time after the ruin in Gaussian risk model.
Keywords
Cite
@article{arxiv.1801.02469,
title = {The time of ultimate recovery in Gaussian risk model},
author = {Krzysztof Debicki and Peng Liu},
journal= {arXiv preprint arXiv:1801.02469},
year = {2018}
}
Comments
21 pages