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Hurricane Bond Price Dependency on Underlying Hurricane Parameters

Author

Listed:
  • Chang Carolyn W.

    (Department of Finance, California State University, Fullerton, USA)

  • Feng Yalan

    (Department of Finance & Law, California State University, Los Angeles, USA)

Abstract

Hurricane bonds are parametric in nature as they have a dual-exercise structure: the first exercise is conditional on the hurricane’s physical landfall location and the second is conditional upon the embedded option ending in-the-money. We propose a coupled and physically-based hurricane bond pricing model via Monte Carlo simulation that resolves the dual exercise, which was not addressed in extant loss-based catastrophe bond pricing models. This coupled model is developed at the nexus of atmospheric science and finance by integrating hurricane risk modeling and option pricing. By applying this model to price a parametric hurricane bond, we demonstrate how a hurricane bond’s price is sensitive to its underlying hurricane’s physical parameters – genesis, heading, translation speed, velocity, and radius.

Suggested Citation

  • Chang Carolyn W. & Feng Yalan, 2021. "Hurricane Bond Price Dependency on Underlying Hurricane Parameters," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 15(1), pages 1-21, January.
  • Handle: RePEc:bpj:apjrin:v:15:y:2021:i:1:p:21:n:5
    DOI: 10.1515/apjri-2020-0017
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    hurricane bonds; hurricane risk management; parametric trigger; hurricane risk modeling; option pricing modeling; G13; G17; G22;
    All these keywords.

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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