A Conditional Value–at–Risk Model for Insurance Products with Guarantee

We propose a model to select the optimal portfolio which underlies insurance policies with guarantee. The objective function is defined in order to minimize the conditional VaR of the distribution of the losses respect to a target return. We add operational and regulatory constraints to make the model as flexible as possible when used for real applications. We show that the integration of the asset and liability side yields superior performances respect to naive fixed–mix portfolios and asset based strategies. We validate the model on out–of–sample scenarios and provide insights on policy design.