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Autor principal: Baradel, Nicolas
Formato: Preprint
Publicado: 2018
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Acceso en línea:https://arxiv.org/abs/1809.09545
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author Baradel, Nicolas
author_facet Baradel, Nicolas
contents We propose a general framework for studying optimal issue of CAT bonds in the presence of uncertainty on the parameters. In particular, the intensity of arrival of natural disasters is inhomogeneous and may depend on unknown parameters. Given a prior on the distribution of the unknown parameters, we explain how it should evolve according to the classical Bayes rule. Taking these progressive prior-adjustments into account, we characterize the optimal policy through a quasi-variational parabolic equation, which can be solved numerically. We provide examples of application in the context of hurricanes in Florida.
format Preprint
id arxiv_https___arxiv_org_abs_1809_09545
institution arXiv
publishDate 2018
record_format arxiv
spellingShingle Optimal control under uncertainty: Application to the issue of CAT bonds
Baradel, Nicolas
Optimization and Control
We propose a general framework for studying optimal issue of CAT bonds in the presence of uncertainty on the parameters. In particular, the intensity of arrival of natural disasters is inhomogeneous and may depend on unknown parameters. Given a prior on the distribution of the unknown parameters, we explain how it should evolve according to the classical Bayes rule. Taking these progressive prior-adjustments into account, we characterize the optimal policy through a quasi-variational parabolic equation, which can be solved numerically. We provide examples of application in the context of hurricanes in Florida.
title Optimal control under uncertainty: Application to the issue of CAT bonds
topic Optimization and Control
url https://arxiv.org/abs/1809.09545