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A dip in the data pool

In the distant past, individual insurers had relatively modest business volumes and the industry needed to pool its data to get an overall data set of sufficient credibility.
Written by: Stephen RichardsTags: Filter information matrix by tag: CMI

Postcode pricing in 15 minutes!

Just a short post to announce we've revised our overview videos for both Longevitas and mortalityrating.com.
Written by: Gavin RitchieTags: Filter information matrix by tag: postcodes, Filter information matrix by tag: survival models

Early retirements

Members of defined-benefit pension schemes can often retire early if they are in poor health.  Unsurprisingly, such ill-health retirements exhibit higher mortality rates than those who retire at the normal scheme age.
Written by: Stephen RichardsTags: Filter information matrix by tag: early retirement, Filter information matrix by tag: missing data, Filter information matrix by tag: Kaplan-Meier

Accelerating improvements in mortality

In February 2009 a variation on the Lee-Carter model for smoothing and projecting mortality rates was presented to the Faculty of Actuaries.  A key question for any projection model is whether the process being modelled is stable.  If the process is not stable, then a model assuming it is stable will give misleading projections.  Equally, a model which makes projections by placing a greater emphasis on recent data will be better able to identify a change in tempo of the underlying p

Written by: Stephen RichardsTags: Filter information matrix by tag: mortality improvements, Filter information matrix by tag: force of mortality

Basis risk in mortality projections

In a recent paper Stephen Richards and I discuss the effect of model choice on mortality forecasts. Our approach is quite low key: we look at just three models, all members of the Lee-Carter family. Nevertheless, our findings are quite dramatic: even within this very small family the differences in the forecasts really matter financially. So model choice matters.

Written by: Iain CurrieTags: Filter information matrix by tag: basis risk, Filter information matrix by tag: mortality projections

Transforming the user experience

We were asked recently whether the rating reports from  mortalityrating.com could be extracted into a Microsoft Office format to use in an automated document production process. As the actual reports are in Adobe PDF format, tackling this question head-on wouldn't necessarily be easy.
Written by: Gavin RitchieTags: Filter information matrix by tag: XML, Filter information matrix by tag: XSL, Filter information matrix by tag: CSV, Filter information matrix by tag: technology, Filter information matrix by tag: productivity

Mortality shocks

Mortality, and in particular rapidly improving mortality, has shot up the actuarial agenda in recent years. Actuaries have been caught by surprise not so much by the improvement (which has been happening steadily for over a hundred years now) but by the acceleration in the improvement.
Written by: Iain CurrieTags: Filter information matrix by tag: Spanish influenza pandemic, Filter information matrix by tag: influenza

Concentrate!

One of the challenges in modelling financial portfolios is the concentration of risk arising from the fact wealthier people will usually have significantly higher benefits than the less well-off.
Written by: Gavin RitchieTags: Filter information matrix by tag: concentration risk, Filter information matrix by tag: visualisation, Filter information matrix by tag: mapping

Winter mortality

In previous posts we looked at seasonal fluctuations in mortality.  Since the UK is about to experience some particularly cold weather again, we will look at winter mortality in more detail.
Written by: Stephen RichardsTags: Filter information matrix by tag: season, Filter information matrix by tag: influenza, Filter information matrix by tag: winter

Logistical nightmares

A common Generalised Linear Model (GLM) for mortality modelling is logistic regression, also sometimes described as a Bernoulli GLM with a logistic link function.  This models mortality at the level of the individual, and models the rate of mortality over a single year. 
Written by: Stephen RichardsTags: Filter information matrix by tag: GLM, Filter information matrix by tag: logistic regression