Abstract
In this paper we present a method of pricing catastrophe bonds (cat bonds) using stochastic programming. Stochastic programming is a method ubiquitous in operations research when decision problems involve uncertainty. We demonstrate the method for pricing cat bonds which bypasses the need to define the equivalent martingale measure or estimate the market price of risk. The price of the cat bond is simply the coupon that needs to be paid that attains a specified return on investment given a set of constraints that define the payoffs.
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Notes
By subjective we mean preference-based using a utility function.
We will use the term insurer and reinsurer interchangeably unless noted otherwise.
The variance of the average loss goes to zero with more insured units.
When an insurance event occurs, most likely cat bonds will have their collateral wiped out.
We assume that all money of the SPI is invested into risk-free assets.
If we were maximizing the coupon given a constraint of a minimum RoI, the value of the coupon would be infinite.
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Georgiopoulos, N. Pricing catastrophe bonds with multistage stochastic programming. Comput Manag Sci 14, 297–312 (2017). https://doi.org/10.1007/s10287-017-0277-6
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DOI: https://doi.org/10.1007/s10287-017-0277-6