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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 … robust multipopulation mortality models, and on the risk management front we need to develop a better understanding of what …
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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...
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risk model CreditRisk+. This allows exact risk aggregation via an efficient numerically stable Panjer recursion algorithm …. Furthermore, the model allows exact (without Monte Carlo simulation error) calculation of risk measures and their sensitivities … with respect to model parameters for P&L distributions such as value-at-risk and expected shortfall. Numerous examples …
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