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 …

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 …

innovation lies in the integration of classical credibility theory with expected risk models, enhancing their stability and …Accurate risk assessment is crucial for predicting potential financial losses. This paper introduces an innovative … approach by employing expected risk models that utilize risk samples to capture comprehensive risk characteristics. The …