Optimization Models for Insurance Portfolio Optimization in the Presence of Background Risk

E. O. Oyatoye *

Department of Business Administration, University of Lagos, Nigeria.

K. K. Arogundade

Department of Business Administration, University of Ado Ekiti, Ado Ekiti.

*Author to whom correspondence should be addressed.


Abstract

The liability stream of insurance companies often stretches several years into the future. Therefore, there is always the need to determine a portfolio of bonds or other assets whose cash-flows replicate those of the liability stream. Insurance regulatory authorities require that insurance companies must demonstrate solvency. To achieve this, an insurance company needs to determine a fair market value of its liability by finding a replicating portfolio consisting of default-free bonds. This paper presents a class of optimization models that could be employed for portfolio optimization in the presence of background risk.

Keywords: Optimization models, insurance portfolio optimization, background risk


How to Cite

Oyatoye, E. O., and K. K. Arogundade. 2011. “Optimization Models for Insurance Portfolio Optimization in the Presence of Background Risk”. Journal of Economics, Management and Trade 1 (2):114-27. https://www.journaljemt.com/index.php/JEMT/article/view/716.

Downloads

Download data is not yet available.