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-List Of Titles -Optimal investment and reinsurance of an insurer with model uncertainty

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/138029

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Title
Optimal investment and reinsurance of an insurer with model uncertainty
Related
Insurance, mathematics and economics, Vol. 45, No. 1, (2009), p.81-88
DOI
10.1016/j.insmatheco.2009.04.001
Publisher
Elsevier BV
Date
2009
FoR/RFCD Code(s)
010400 Statistics  140200 Applied Economics
Author/Creator
Zhang, Xin
Author/Creator
Siu, Tak Kuen
Description
We introduce a novel approach to optimal investment–reinsurance problems of an insurance company facing model uncertainty via a game theoretic approach. The insurance company invests in a capital market index whose dynamics follow a geometric Brownian motion. The risk process of the company is governed by either a compound Poisson process or its diffusion approximation. The company can also transfer a certain proportion of the insurance risk to a reinsurance company by purchasing reinsurance. The optimal investment–reinsurance problems with model uncertainty are formulated as two-player, zero-sum, stochastic differential games between the insurance company and the market. We provide verification theorems for the Hamilton–Jacobi–Bellman–Isaacs (HJBI) solutions to the optimal investment–reinsurance problems and derive closed-form solutions to the problems.
Description
8 page(s)
Subject Keyword
010400 Statistics
Subject Keyword
140200 Applied Economics
Subject Keyword
Optimal investment
Subject Keyword
Proportional reinsurance
Subject Keyword
Model uncertainty
Subject Keyword
Stochastic differential game
Subject Keyword
Exponential utility
Subject Keyword
Penalty of ruin
Subject Keyword
HJBI equations
Resource Type
journal article
Organisation
Macquarie University. Dept. of Actuarial Studies

Identifier
http://hdl.handle.net/1959.14/138029
Identifier
ISSN:0167-6687
Identifier
mq-rm-2009002175
Language
eng
Reviewed
Reviewed
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"Insurance, mathematics and economics"
 
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