Optimal dividends for a NatCat insurer in the presence of a climate tipping point

Abstract We study optimal dividend strategies for an insurance company facing natural catastrophe claims, anticipating the arrival of a climate tipping point after which the claim intensity and/or the claim size distribution of the underlying risks deteriorates irreversibly. For shot‐noise Cox claim arrivals, we show that the nonstationary feature of such a tipping point can be an advantage for shareholders. Assuming the tipping point arrives according to an Erlang distribution, we demonstrate that the corresponding system of two‐dimensional stochastic control problems admits a viscosity solution, which can be numerically approximated in an efficient way. The results are illustrated through several numerical examples. Also, the sensitivity of the optimal dividend strategies to the presence of a climate tipping point is analyzed.

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Publication Details

Journal
Canadian Journal of Statistics
Published
2025-11-24
DOI
https://doi.org/10.1002/cjs.70029
Citations
1
Primary Topic
Probability and Risk Models
Type
article
Field-Weighted Citation Impact
2.11
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article

Optimal dividends for a NatCat insurer in the presence of a climate tipping point

Pablo Azcue, Nora E. Muler, Hansjörg Albrecher
1 citations
Canadian Journal of Statistics
Probability and Risk Models
2.11
article

Optimal dividends for a NatCat insurer in the presence of a climate tipping point

Pablo Azcue, Nora E. Muler, Hansjörg Albrecher
article en
1 citations

Abstract

Abstract We study optimal dividend strategies for an insurance company facing natural catastrophe claims, anticipating the arrival of a climate tipping point after which the claim intensity and/or the claim size distribution of the underlying risks deteriorates irreversibly. For shot‐noise Cox claim arrivals, we show that the nonstationary feature of such a tipping point can be an advantage for shareholders. Assuming the tipping point arrives according to an Erlang distribution, we demonstrate that the corresponding system of two‐dimensional stochastic control problems admits a viscosity solution, which can be numerically approximated in an efficient way. The results are illustrated through several numerical examples. Also, the sensitivity of the optimal dividend strategies to the presence of a climate tipping point is analyzed.

Canadian Journal of StatisticsVol. 54(1)
Universidad Torcuato Di Tella (AR), Swiss Finance Institute (CH)
Openalex Percentile: Top 9%
Probability and Risk Models
2.11
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