Mathematical Modelling of an Insurer’s Portfolio and Reinsurance Strategy under the CEV Model and CRRA Utility
1 Department of Mathematics and Computer Science, Niger Delta University, Bayelsa, Nigeria
2 Department of Mathematics and Statistics, Federal University Otuoke, Bayelsa, Nigeria
3 Department of Mathematics, Imo State University, Owerri, Nigeria
* Corresponding author: udemeinioku@gmail.com
2 Department of Mathematics and Statistics, Federal University Otuoke, Bayelsa, Nigeria
3 Department of Mathematics, Imo State University, Owerri, Nigeria
* Corresponding author: udemeinioku@gmail.com
Abstract
One of the major problems encountered by most insurance com
panies is portfolio management and payment of claims. Hence the
study of optimal portfolio strategy (OPS) and optimal reinsurance
strategy (ORS) becomes necessary. In this paper, the insurer is
allowed to invest in a risk-free-asset and a risky-asset, where the
risky-asset price follows the constant elasticity variance model
and can buy proportional reinsurance policy as a backup. By
optimal control approach, the Hamilton-Jacobi-Bellman (HJB)
equation is obtained. Using Legendre transformation method, the
HJB-equation is transformed to a linear partial differential equa
tion and solved for OPS and ORS for an insurer with logarithm
utility. Finally, numerical and theoretical analyses were presented
to study the impact of model parameters on ORS and OPS.
Keywords
Optimal Control
Models
Risk
Utility Function
CEV process
How to Cite
Ini, U. O., Udoh, N. A., Njoku, K. N. C., & Akpanibah, E. E. (2021). Mathematical Modelling of an Insurer’s Portfolio and Reinsurance Strategy under the CEV Model and CRRA Utility. Nigerian Journal of Mathematics and Applications, 31(1), 34−52. https://doi.org/10.67897/njma.2021.j9awmknz
U. O. Ini, N. A. Udoh, K. N. C. Njoku, and E. E. Akpanibah, "Mathematical Modelling of an Insurer’s Portfolio and Reinsurance Strategy under the CEV Model and CRRA Utility," Nigerian Journal of Mathematics and Applications, vol. 31, no. 1, pp. 34−52, July 2021. doi: 10.67897/njma.2021.j9awmknz