Artikel
The effects of largest claim and excess of loss reinsurance on a company's ruin time and valuation
We compare two types of reinsurance: excess of loss (EOL) and largest claim reinsurance (LCR), each of which transfers the payment of part, or all, of one or more large claims from the primary insurance company (the cedant) to a reinsurer. The primary insurer's point of view is documented in terms of assessment of risk and payment of reinsurance premium. A utility indifference rationale based on the expected future dividend stream is used to value the company with and without reinsurance. Assuming the classical compound Poisson risk model with choices of claim size distributions (classified as heavy, medium and light-tailed cases), simulations are used to illustrate the impact of the EOL and LCR treaties on the company's ruin probability, ruin time and value as determined by the dividend discounting model. We find that LCR is at least as effective as EOL in averting ruin in comparable finite time horizon settings. In instances where the ruin probability for LCR is smaller than for EOL, the dividend discount model shows that the cedant is able to pay a larger portion of the dividend for LCR reinsurance than for EOL while still maintaining company value. Both methods reduce risk considerably as compared with no reinsurance, in a variety of situations, as measured by the standard deviation of the company value. A further interesting finding is that heaviness of tails alone is not necessarily the decisive factor in the possible ruin of a company; small and moderate sized claims can also play a significant role in this.
- Language
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Englisch
- Bibliographic citation
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Journal: Risks ; ISSN: 2227-9091 ; Volume: 5 ; Year: 2017 ; Issue: 1 ; Pages: 1-27 ; Basel: MDPI
- Classification
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Wirtschaft
- Subject
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largest claims reinsurance
excess of loss reinsurance
ruin probability
ruin time
compound Poisson risk model
heavy tails
Lévy insurance risk process
- Event
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Geistige Schöpfung
- (who)
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Fan, Yuguang
Griffin, Philip S.
Maller, Ross
Szimayer, Alexander
Wang, Tiandong
- Event
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Veröffentlichung
- (who)
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MDPI
- (where)
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Basel
- (when)
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2017
- DOI
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doi:10.3390/risks5010003
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Fan, Yuguang
- Griffin, Philip S.
- Maller, Ross
- Szimayer, Alexander
- Wang, Tiandong
- MDPI
Time of origin
- 2017