DocumentCode
2852661
Title
Insurance pricing, reinsurance and investment decision based on the Mutual Benefit of the insurer and the customer
Author
Mao, Hong ; Ostaszewski, Krzysztof M.
Author_Institution
Sch. of Econ. & Manage., Shanghai Second Polytech. Univ., Shanghai, China
fYear
2011
fDate
6-9 Dec. 2011
Firstpage
91
Lastpage
95
Abstract
In this article, we establish an optimal decision model of insurance pricing, reinsurance and investment based on the mutual benefits of the insurer and the customer instead of only considering the benefit of the insurer, which is conformed with one of important objective of financial institution, that is, customer-oriented. We assume that the price and the claim loss rate are independent stochastic processes and n kinds risky assets are correlated stochastic processes. The main objective of our model is to minimize the expected utility of the premium paid by the customer in a bounded horizon and to maximize the utility of the relative terminal wealth of the insurer respect to the price of insurance. We construct a HJB equation and determine the optimal price of the insurance products, the optimal reinsurance strategy and the optimal investment portfolio of the insurer simultaneously by solving Hamilton-Jacobobi-Bellman HJB equation. Finally, we use an example to illustrate its application.
Keywords
Jacobian matrices; decision making; insurance; investment; pricing; stochastic processes; utility theory; Hamilton-Jacobobi-Bellman HJB equation; claim loss rate; correlated stochastic processes; expected utility minimization; financial institution; independent stochastic processes; insurance pricing; investment decision; mutual benefit; optimal decision model; optimal investment portfolio; reinsurance decision; Equations; Insurance; Investments; Mathematical model; Portfolios; Stochastic processes; Insurance pricing; stochastic process;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
Conference_Location
Singapore
ISSN
2157-3611
Print_ISBN
978-1-4577-0740-7
Electronic_ISBN
2157-3611
Type
conf
DOI
10.1109/IEEM.2011.6117885
Filename
6117885
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