Optimal Insurance to Maximize Exponential Utility when Premium is Computed by a Convex Functional

Fuente: arXiv
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Auteurs principaux: Cao, Jingyi, Li, Dongchen, Young, Virginia R., Zou, Bin
Format: Preprint
Publié: 2024
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author Cao, Jingyi
Li, Dongchen
Young, Virginia R.
Zou, Bin
author_facet Cao, Jingyi
Li, Dongchen
Young, Virginia R.
Zou, Bin
contents We find the optimal indemnity to maximize the expected utility of terminal wealth of a buyer of insurance whose preferences are modeled by an exponential utility. The insurance premium is computed by a convex functional. We obtain a necessary condition for the optimal indemnity; then, because the candidate optimal indemnity is given implicitly, we use that necessary condition to develop a numerical algorithm to compute it. We prove that the numerical algorithm converges to a unique indemnity that, indeed, equals the optimal policy. We also illustrate our results with numerical examples.
format Preprint
id arxiv_https___arxiv_org_abs_2401_08094
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimal Insurance to Maximize Exponential Utility when Premium is Computed by a Convex Functional
Cao, Jingyi
Li, Dongchen
Young, Virginia R.
Zou, Bin
Mathematical Finance
Optimization and Control
Risk Management
91G05, 93E20, 49M05
We find the optimal indemnity to maximize the expected utility of terminal wealth of a buyer of insurance whose preferences are modeled by an exponential utility. The insurance premium is computed by a convex functional. We obtain a necessary condition for the optimal indemnity; then, because the candidate optimal indemnity is given implicitly, we use that necessary condition to develop a numerical algorithm to compute it. We prove that the numerical algorithm converges to a unique indemnity that, indeed, equals the optimal policy. We also illustrate our results with numerical examples.
title Optimal Insurance to Maximize Exponential Utility when Premium is Computed by a Convex Functional
topic Mathematical Finance
Optimization and Control
Risk Management
91G05, 93E20, 49M05
url https://arxiv.org/abs/2401.08094