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An analytical solution for the robust investment-reinsurance strategy with general utilities

Yong He, Xia Zhou, Peimin Chen and Xiaoyang Wang

The North American Journal of Economics and Finance, 2022, vol. 63, issue C

Abstract: In financial markets, different investors have different attitudes or preferences on the investment policies and reinsurance problems. For investors with different investment utilities, how to provide an optimal investment strategy is not only a very hard problem, but also an urgent problem to be solved. In this paper, we derive an analytical solution for the optimal allocation problem of investment-reinsurance with general-form utility function. The general utility function allows for varying relative risk aversion coefficient, which is an important feature in finance theory. However, obtaining analytical solutions for general utility function has been difficult or impossible. The solution presented in this paper is constructed through the homotopy analysis method (HAM) and written in the form of a Taylor series expansion. The fully nonlinear Hamilton–Jacobi–Bellman (HJB) equation is decomposed into an infinite series of linear PDEs, which can be solved analytically. In the end, three examples are presented to illustrate the convergence and accuracy of the method, it also demonstrates that different risk reference investors have different investment-reinsurance strategies.

Keywords: Ambiguity; General utility function; Homotopy analysis method; Taylor series expansion; Hamilton–Jacobi–Bellman (HJB) equation (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecofin:v:63:y:2022:i:c:s1062940822001279

DOI: 10.1016/j.najef.2022.101789

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