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Posts feedHedging or betting?
Last week I presented at Longevity 14 in Amsterdam. A recurring topic at this conference series is index-based approaches to managing longevity risk. Indeed, this topic crops up so reliably, one could call it a hardy perennial.
Socio-economic differentials: convergence and divergence
How much data do you need?
Reverse Gear
Haircut or hedge-trim?
Risk and models under Solvency II
Everything counts in large amounts
Models for projecting mortality are typically built using information on lives with deaths by age and gender. However, this ignores an important risk factor for longevity, namely socio-economic group. For annuity and pension reserving, therefore, it would be helpful to use such information when building stochastic projection models.
A basis point
Forecasting with limited portfolio data
Self-selection
Actuaries valuing pension liabilities need to make projections of future mortality rates. The future is inherently uncertain, so it is best to use stochastic models of mortality. Unfortunately, such models require a long enough time series, but few (if any) portfolios have such data. In the UK actuaries typically rely on one of two alternative data sets: the England & Wales data from the ONS, which goes back to 1961, or the "assured lives" data from the CMI, wh