arXiv Analytics

Sign in

arXiv:2403.02941 [math.PR]AbstractReferencesReviewsResources

Ruin Probability Approximation for Bidimensional Brownian Risk Model with Tax

Timofei Shashkov

Published 2024-03-05, updated 2024-07-11Version 2

Let $\mathbf{B}(t)=(B_1(t), B_2(t))$, $t\geq 0$ be a two-dimensional Brownian motion with independent components and define the $\mathbf{\gamma}$-reflected process $$\mathbf{X}(t)=(X_1(t),X_2(t))=\left(B_1(t)-c_1t-\gamma_1\inf_{s_1\in[0,t]}(B_1(s_1)-c_1s_1),B_2(t)-c_2t-\gamma_2\inf_{s_2\in[0,t]}(B_2(s_2)-c_2s_2)\right),$$ with given finite constants $c_1,c_2,\gamma_1,\gamma_2$ and $\gamma_1,\gamma_2\in[0,1]$. The goal of this paper is to derive the asymptotics of ruin probability $$\mathbb{P}\{\exists_{t\in[0,T]}: X_1(t)>u,X_2(t)>au\}$$ as $u\to\infty$ for $a\leq 1$ and $T>0$.

Related articles: Most relevant | Search more
arXiv:1707.08065 [math.PR] (Published 2017-07-25)
On Multivariate Records from Random Vectors with Independent Components
arXiv:math/0606752 [math.PR] (Published 2006-06-29)
Concentration for Infinitely Divisible Vectors with Independent Components
arXiv:math/0607019 [math.PR] (Published 2006-07-03, updated 2008-11-14)
Concentration for norms of infinitely divisible vectors with independent components