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Reinsurance versus securitization of catastrophe risk

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  • Subramanian, Ajay
  • Wang, Jinjing

Abstract

We provide a novel explanation for the low volume of securitization in catastrophe risk transfer using a signaling model. Relative to securitization, reinsurance features lower adverse selection costs because reinsurers possess superior underwriting resources than ordinary capital market investors. Reinsurance premia, however, reflect markups over actuarially fair premia due to the additional costs of underwriting. Insurers’ risk transfer choices trade off the costs and benefits of reinsurance relative to securitization. In equilibrium, low risks are transferred via reinsurance, while intermediate and high risks are transferred via partial and full securitization, respectively. An increase in the loss size increases the trigger risk level above which securitization is chosen. Hence, catastrophe exposures, which are characterized by lower probabilities and higher severities, are more likely to be retained or reinsured rather than securitized.

Suggested Citation

  • Subramanian, Ajay & Wang, Jinjing, 2018. "Reinsurance versus securitization of catastrophe risk," Insurance: Mathematics and Economics, Elsevier, vol. 82(C), pages 55-72.
  • Handle: RePEc:eee:insuma:v:82:y:2018:i:c:p:55-72
    DOI: 10.1016/j.insmatheco.2018.06.006
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    Cited by:

    1. Tobias Götze & Marc Gürtler, 2022. "Risk transfer beyond reinsurance: the added value of CAT bonds," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(1), pages 125-171, January.
    2. Han-Bin KANG & Hsuling CHANG & Tsangyao CHANG, 2022. "Catastrophe Reinsurance Pricing -Modification of Dynamic Asset-Liability Management," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-20, December.
    3. Wu, Yang-Che, 2020. "Equilibrium in natural catastrophe insurance market under disaster-resistant technologies, financial innovations and government interventions," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 116-128.
    4. Xiaowei Chen & Hong Li & Yufan Lu & Rui Zhou, 2024. "Unveiling Nonlinear Dynamics in Catastrophe Bond Pricing: A Machine Learning Perspective," Papers 2405.00697, arXiv.org, revised Aug 2024.

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