English

Distribution of suprema for generalized risk processes

Probability 2017-04-25 v1

Abstract

We study a generalized risk process X(t)=Y(t)C(t)X(t)=Y(t)-C(t), t[0,τ]t\in[0,\tau], where YY is a L\'evy process, CC an independent subordinator and τ\tau an independent exponential time. Dropping the standard assumptions on the finite expectations of the processes YY and CC and the net profit condition, we derive a Pollaczek-Khinchine type formula for the supremum of the dual process X^=X\widehat{X}=-X on [0,τ][0,\tau] which generalizes the results obtained in \cite{HPSV1}. We also discuss which assumptions are necessary for deriving this formula, specially from the point of view of the ladder process.

Cite

@article{arxiv.1704.07340,
  title  = {Distribution of suprema for generalized risk processes},
  author = {Ivana Geček Tuđen},
  journal= {arXiv preprint arXiv:1704.07340},
  year   = {2017}
}

Comments

14 pages

R2 v1 2026-06-22T19:26:09.498Z