This paper proposes a model for a defined benefit pension plan to minimize total funding variation while controlling expected total pension cost and funding downside risk throughout the life of a pension cohort. With this setup, we first investigate the plan's optimal contribution and asset...

This paper proposes a stochastic model, which captures mortality correlations across countries and common mortality shocks, for analyzing catastrophe mortality contingent claims. To estimate our model, we apply particle filtering, a general technique that has wide applications in non-Gaussian...

To control downside risk of a defined benefit (DB) pension plan arising from unexpected mortality improvements and severe market turbulence, this paper proposes an optimization model by imposing two conditional value at risk (CVaR) constraints to control tail risks of pension funding status and...