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Posts feedMind the gap!
Recognising and quantifying mortality differentials is what experience analysis is all about. Whether you calculate traditional A/E ratios, graduate raw rates by formula (Forfar et al. 1988), or fit a statistical model (Richards 2012), the aim is always to find risk factors influencing the level of mortality.
Spotting hidden data-quality issues
The growing market for longevity risk-transfer means that takers of the risk are keenly interested in the mortality characteristics of the portfolio concerned. The first thing requested by the risk-taker is therefore detailed data on the portfolio's recent mortality experience. This is ideally data extracted on a policy-by-policy basis.
Reducing uncertainty
The motto of the old UK Institute of Actuaries was certum ex incertis, i.e. certainty from uncertainty. I never particularly liked this motto — it implied that certainty can be obtained from uncertainty, whereas uncertainty is all-too-often overlooked.
A tale of three cities
Out of line
Longevitas input format
A benchmark for longevity swap prices
Haircut or hedge-trim?
Health experiments
One interesting aspect of Scottish devolution is the different path charted in health policy.