Some continuity estimates for ruin probability and other ruin-related quantities

In this paper we investigate continuity properties for ruin probability in the classical risk model. Properties of contractive integral operators are used to derive continuity estimates for the deficit at ruin. These results are also applied to obtain desired continuity inequalities in the setting of continuous time surplus process perturbed by diffusion. In this framework, the ruin probability can be expressed as the convolution of a compound geometric distribution K with a diffusion term. A continuity inequality for K is derived and an iterative approximation for this ruin-related quantity is proposed. The results are illustrated by numerical examples.

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Publication Details

Journal
Modern Stochastics Theory and Applications
Published
2026-01-01
DOI
https://doi.org/10.15559/26-vmsta300
Primary Topic
Probability and Risk Models
Type
article
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article

Some continuity estimates for ruin probability and other ruin-related quantities

Lazaros Kanellopoulos
Modern Stochastics Theory and Applications
Probability and Risk Models
article

Some continuity estimates for ruin probability and other ruin-related quantities

Lazaros Kanellopoulos
article en

Abstract

In this paper we investigate continuity properties for ruin probability in the classical risk model. Properties of contractive integral operators are used to derive continuity estimates for the deficit at ruin. These results are also applied to obtain desired continuity inequalities in the setting of continuous time surplus process perturbed by diffusion. In this framework, the ruin probability can be expressed as the convolution of a compound geometric distribution K with a diffusion term. A continuity inequality for K is derived and an iterative approximation for this ruin-related quantity is proposed. The results are illustrated by numerical examples.

Modern Stochastics Theory and Applications
University of the Aegean (GR)
Sustainable cities and communities
Openalex Percentile: Top 8%
Probability and Risk Models
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