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Probabilistic approach to risk processes with level-dependent premium rate

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Probabilistic approach to risk processes with level-dependent premium rate. / Denisov, D. E.; Gotthard, N; Korshunov, Dmitry et al.
In: Insurance: Mathematics and Economics, Vol. 118, 30.09.2024, p. 143-156.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Denisov, DE, Gotthard, N, Korshunov, D & Wachtel, V 2024, 'Probabilistic approach to risk processes with level-dependent premium rate', Insurance: Mathematics and Economics, vol. 118, pp. 143-156. https://doi.org/10.1016/j.insmatheco.2024.06.002

APA

Denisov, D. E., Gotthard, N., Korshunov, D., & Wachtel, V. (2024). Probabilistic approach to risk processes with level-dependent premium rate. Insurance: Mathematics and Economics, 118, 143-156. https://doi.org/10.1016/j.insmatheco.2024.06.002

Vancouver

Denisov DE, Gotthard N, Korshunov D, Wachtel V. Probabilistic approach to risk processes with level-dependent premium rate. Insurance: Mathematics and Economics. 2024 Sept 30;118:143-156. Epub 2024 Jul 8. doi: 10.1016/j.insmatheco.2024.06.002

Author

Denisov, D. E. ; Gotthard, N ; Korshunov, Dmitry et al. / Probabilistic approach to risk processes with level-dependent premium rate. In: Insurance: Mathematics and Economics. 2024 ; Vol. 118. pp. 143-156.

Bibtex

@article{f77c096e9aa04876902b8e4460bb940b,
title = "Probabilistic approach to risk processes with level-dependent premium rate",
abstract = "We study risk processes with level dependent premium rate. Assuming that the premium rate converges, as the risk reserve increases, to the critical value in the net-profit condition, we obtain upper and lower bounds for the ruin probability; our proving technique is purely probabilistic and based on the analysis of Markov chains with asymptotically zero drift.We show that such risk processes give rise to heavy-tailed ruin probabilities whatever the distribution of the claim size, even if it is a bounded random variable. So, the risk processes with near critical premium rate provide an important example of a stochastic model where light-tailed input produces heavy-tailed output.",
author = "Denisov, {D. E.} and N Gotthard and Dmitry Korshunov and Vitali Wachtel",
year = "2024",
month = sep,
day = "30",
doi = "10.1016/j.insmatheco.2024.06.002",
language = "English",
volume = "118",
pages = "143--156",
journal = "Insurance: Mathematics and Economics",
issn = "0167-6687",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Probabilistic approach to risk processes with level-dependent premium rate

AU - Denisov, D. E.

AU - Gotthard, N

AU - Korshunov, Dmitry

AU - Wachtel, Vitali

PY - 2024/9/30

Y1 - 2024/9/30

N2 - We study risk processes with level dependent premium rate. Assuming that the premium rate converges, as the risk reserve increases, to the critical value in the net-profit condition, we obtain upper and lower bounds for the ruin probability; our proving technique is purely probabilistic and based on the analysis of Markov chains with asymptotically zero drift.We show that such risk processes give rise to heavy-tailed ruin probabilities whatever the distribution of the claim size, even if it is a bounded random variable. So, the risk processes with near critical premium rate provide an important example of a stochastic model where light-tailed input produces heavy-tailed output.

AB - We study risk processes with level dependent premium rate. Assuming that the premium rate converges, as the risk reserve increases, to the critical value in the net-profit condition, we obtain upper and lower bounds for the ruin probability; our proving technique is purely probabilistic and based on the analysis of Markov chains with asymptotically zero drift.We show that such risk processes give rise to heavy-tailed ruin probabilities whatever the distribution of the claim size, even if it is a bounded random variable. So, the risk processes with near critical premium rate provide an important example of a stochastic model where light-tailed input produces heavy-tailed output.

U2 - 10.1016/j.insmatheco.2024.06.002

DO - 10.1016/j.insmatheco.2024.06.002

M3 - Journal article

VL - 118

SP - 143

EP - 156

JO - Insurance: Mathematics and Economics

JF - Insurance: Mathematics and Economics

SN - 0167-6687

ER -