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In this article we review the state of play in the use of stochastic models for the measurement and management of 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 the objectives are of pension plans that need to be optimized. We propose a variety of ways forward on both counts.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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