Decision-makers who usually face model/parameter risk may prefer to act prudently by identifying optimal contracts that are robust to such sources of uncertainty. In this paper, we tackle this issue under a finite uncertainty set that contains a number of probability models that are candidates...

This paper uses a novel numerical optimization technique – robust optimization – that is well suited to solving the asset-liability management (ALM) problem for pension schemes. It requires the estimation of fewer stochastic parameters, reduces estimation risk and adopts a prudent approach...

An optimal Bonus-Malus System (BMS) based on both the number of accidents and the severity of each accident was developed by Frangos and Vrontos (2001). In this paper we extend the work of Frangos and Vrontos (2001), Lemaire (1995) and Dionne and Vannasse (1989, 1992) using finite mixture...