Insurance and Financial Risk Management Open access Peer reviewed

Arbitrage-free catastrophe reinsurance valuation for compound dynamic contagion claims

Jiwook Jang, Patrick J. Laub, Tak Kuen Siu, Hongbiao Zhao

Annals of Actuarial Science | Jun 18, 2026

Abstract

Abstract

Abstract In this paper, we consider catastrophe stop-loss reinsurance valuation for a reinsurance company with dynamic contagion claims. To deal with conventional and emerging catastrophic events, we propose the use of a compound dynamic contagion process for the catastrophic component of the liability. Under the premise that there is an absence of arbitrage opportunity in the market, we obtain arbitrage-free premiums for these contracts. To this end, the Esscher transform is adopted to specify an equivalent martingale probability measure. We show that reinsurers have various ways of levying the security loading on the net premiums to quantify the catastrophic liability in light of the growing challenges posed by emerging risks arising from climate change, cyberattacks, and pandemics. We numerically compare arbitrage-free catastrophe stop-loss reinsurance premiums via the Monte Carlo simulation method. We also compare them with those from generalized compound Hawkes/compound Cox cases. Sensitivity analyses are performed by changing the retention level, the Esscher parameters, and the intensity parameters.

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Authors

Researchers on this paper

Jiwook Jang

first | Macquarie University | ORCID 0000-0003-3452-8041

Patrick J. Laub

middle | UNSW Sydney | ORCID 0000-0002-8442-7524

Tak Kuen Siu

middle | Macquarie University | ORCID 0000-0003-2823-5138

Hongbiao Zhao

last | Shanghai University of Finance and Economics | ORCID 0000-0002-1698-8434

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Citation

BibTeX

@article{Jang2026Arbitrage,
  title = {Arbitrage-free catastrophe reinsurance valuation for compound dynamic contagion claims},
  author = {Jiwook Jang and Patrick J. Laub and Tak Kuen Siu and Hongbiao Zhao},
  journal = {Annals of Actuarial Science},
  year = {2026},
  doi = {10.1017/s1748499526100347},
  url = {https://doi.org/10.1017/s1748499526100347}
}

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