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The ILS loss experience: natural catastrophe issues 2001–2020

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  • Morton Lane

    (University of Illinois at Urbana-Champaign)

Abstract

“If there were no losses; there would be no premiums,” Insurance proverb. This paper analyzes the history of natural catastrophe Insurance-Linked Securities (ILS), or Cat Bonds (CB), from 2001 to 2020. Preliminary analyses summarize the annual character of issuance during that period, providing context for the principal focus of the paper, which is losses. A detailed loss record is provided, including why and when losses occurred. This record, when set against the historic issuance, allows us to address several important questions, unaddressed in the literature but constantly posed by practitioners. Does the cumulative loss over 20 years equal what catastrophe models led to us expect? Were the relative sizes of actual losses reflective of expected losses? Most importantly, does the loss record support the idea that natural catastrophe models are accurate and useful? This paper is the first to specifically address these fundamental forensic questions against the loss record. It thereby makes an important contribution to the growing literature about ILS markets.

Suggested Citation

  • Morton Lane, 2024. "The ILS loss experience: natural catastrophe issues 2001–2020," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(1), pages 97-137, January.
    • Handle: RePEc:pal:gpprii:v:49:y:2024:i:1:d:10.1057_s41288-022-00275-5
    DOI: 10.1057/s41288-022-00275-5
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    References listed on IDEAS

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    1. Alexander Braun, 2016. "Pricing in the Primary Market for Cat Bonds: New Empirical Evidence," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(4), pages 811-847, December.
    2. Morton N. Lane, 2004. "Arbitrage Algebra and the Price of Multi‐Peril ILS," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 5(2), pages 45-51, February.
    3. Kay Giesecke & Francis A. Longstaff & Stephen Schaefer & Ilya Strebulaev, 2010. "Corporate Bond Default Risk: A 150-Year Perspective," NBER Working Papers 15848, National Bureau of Economic Research, Inc.
    4. Braun, Alexander, 2011. "Pricing catastrophe swaps: A contingent claims approach," Insurance: Mathematics and Economics, Elsevier, vol. 49(3), pages 520-536.
    5. Braun, Alexander & Ben Ammar, Semir & Eling, Martin, 2019. "Asset pricing and extreme event risk: Common factors in ILS fund returns," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 59-78.
    6. Marcello Galeotti & Marc Gürtler & Christine Winkelvos, 2013. "Accuracy of Premium Calculation Models for CAT Bonds—An Empirical Analysis," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(2), pages 401-421, June.
    7. Lane, Morton N., 2000. "Pricing Risk Transfer Transactions1," ASTIN Bulletin, Cambridge University Press, vol. 30(2), pages 259-293, November.
    8. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    9. Faias, José Afonso & Guedes, José, 2020. "The diffusion of complex securities: The case of CAT bonds," Insurance: Mathematics and Economics, Elsevier, vol. 90(C), pages 46-57.
    10. Beer, Simone & Braun, Alexander, 2022. "Market-consistent valuation of natural catastrophe risk," Journal of Banking & Finance, Elsevier, vol. 134(C).
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