Bankruptcy probabilities under non-poisson inspection

Abstract This paper concerns an insurance firm’s surplus process observed at renewal inspection times, with a focus on assessing the probability of the surplus level dropping below zero. For various types of inter-inspection time distributions, an explicit expression for the corresponding transform is given. In addition, Cramér–Lundberg-type asymptotics are established. Also, an importance sampling-based Monte Carlo algorithm is proposed, and is shown to be logarithmically efficient.

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Publication Details

Journal
Advances in Applied Probability
Published
2025-03-19
DOI
https://doi.org/10.1017/apr.2025.2
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
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article

Bankruptcy probabilities under non-poisson inspection

Michel Mandjes, Sara Morcy, Florine Kuipers
Advances in Applied Probability
Insurance and Financial Risk Management
article

Bankruptcy probabilities under non-poisson inspection

Michel Mandjes, Sara Morcy, Florine Kuipers
article en

Abstract

Abstract This paper concerns an insurance firm’s surplus process observed at renewal inspection times, with a focus on assessing the probability of the surplus level dropping below zero. For various types of inter-inspection time distributions, an explicit expression for the corresponding transform is given. In addition, Cramér–Lundberg-type asymptotics are established. Also, an importance sampling-based Monte Carlo algorithm is proposed, and is shown to be logarithmically efficient.

Advances in Applied ProbabilityVol. 57(4)
Leiden University (NL), University of Applied Sciences Leiden (NL), University of Amsterdam (NL)
Openalex Percentile: Top 92%
Insurance and Financial Risk Management
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