We introduce an additive stochastic mortality model which allows joint modelling and forecasting of underlying death … causes. Parameter families for mortality trends can be chosen freely. As model settings become high dimensional, Markov chain … risk model CreditRisk+. This allows exact risk aggregation via an efficient numerically stable Panjer recursion algorithm …

robust multipopulation mortality models, and on the risk management front we need to develop a better understanding of what … longevity risk. A focus of the discussion concerns how robust these models are relative to a variety of inputs: something that … is particularly important in formulating a risk management strategy. On the modeling front much still needs to be done on …

Stochastic mortality models seek to forecast future mortality rates; thus, it is apparent that the objective variable … should be the mortality rate expressed in the original scale. However, the performance of stochastic mortality models …-in terms, that is, of their goodness-of-fit and prediction accuracy-is often based on the logarithmic scale of the mortality …

result in a reduction in expected costs and equivalence premiums. However, due to the different impact of longevity risk on …, time restrictions reduce the duration of the provider’s liability, which should therefore be less exposed to financial risk … time frames for life annuity arrangements, first addressing longevity risk only, and then including also financial risk …