Information Matrix

Filter Information matrix

Posts feed
Publication date

Top of the table

In an earlier post we also showed how the U.K. was top of the obesity league amongst major EU nations.   Happily, the U.K. is top of a more constructive EU league table, namely the (lack of) affordability of cigarettes.
Written by: Stephen RichardsTags: Filter information matrix by tag: smoking

Open verdict

If any doubt about Linux and Open Source technologies existed in Enterprise IT departments it must surely have been erased by last week's news: The London Stock Exchange, one of the engines that propelled the UK to the top of the World Economic Forum rankings, has invested in a Linux trading platform.
Written by: Gavin RitchieTags: Filter information matrix by tag: open source, Filter information matrix by tag: technology

Part of the story

The Institute of Actuaries' sessional meeting on 28th September 2009 discussed an interesting paper.  It covered similar material to that in Richards (2008), but used different methods and different data.
Written by: Stephen Richards

Back(test) to the future

Stochastic projections of future mortality are increasingly used not just to set future best-estimates, but also to inform on stress tests such as for ICAs in the UK.
Written by: Stephen RichardsTags: Filter information matrix by tag: mortality projections, Filter information matrix by tag: ICA, Filter information matrix by tag: Solvency II, Filter information matrix by tag: Lee-Carter, Filter information matrix by tag: CMIR17, Filter information matrix by tag: back-test

Forecasting with limited portfolio data

In a recent post on basis risk in mortality projections, I floated the idea of forecasting with limited data and even suggested that it would be possible to use the method to produce a family of consistent forecasts for different classes of business. The present post describes an example of how this idea works in practice.
Written by: Iain CurrieTags: Filter information matrix by tag: basis risk, Filter information matrix by tag: mortality projections

A Scottish question

The Scots are an innovative bunch, including the inventor of the telephone and the discoverer of penicillin.
Written by: Stephen RichardsTags: Filter information matrix by tag: Scotland, Filter information matrix by tag: region, Filter information matrix by tag: geodemographics

Out for the count

In an earlier post we described a problem when fitting GLMs for qx over multiple years.  The key mistake is to divide up the period over which the individual was observed in a model for individual mortality. 
Written by: Stephen RichardsTags: Filter information matrix by tag: survival models, Filter information matrix by tag: force of mortality, Filter information matrix by tag: GLM, Filter information matrix by tag: missing data

Stabilising projections

With many stochastic models of mortality, projections of future mortality rates are done using a time series.  In a landmark paper, Currie, Durban and Eilers (2004) introduced the idea of using P-splines as an alternative means of generating a forecast.
Written by: Stephen RichardsTags: Filter information matrix by tag: P-splines, Filter information matrix by tag: time series, Filter information matrix by tag: mortality projections, Filter information matrix by tag: CMI

Partial buy-outs

It is quite common for a pension scheme to want to reduce its risk, but to be unable to afford a full buy-out.  The question is how best to reduce risk with the funds available, i.e. which liabilities to buy out first. 
Written by: Stephen RichardsTags: Filter information matrix by tag: buy-out, Filter information matrix by tag: concentration risk, Filter information matrix by tag: trend risk, Filter information matrix by tag: tail risk

The Lee-Carter Family

In a recent paper presented to the Faculty of Actuaries, Stephen Richards and I discussed model risk and showed how it can have a material impact on mortality forecasts.  Different models have different features, some more desirable than others.  This post illustrates a particular problem with the original Lee-Carter model, and shows how it can be combatted via smoothing.  The choice of which parameters to smooth in the Lee-Carter model leads to a general family

Written by: Iain CurrieTags: Filter information matrix by tag: model risk, Filter information matrix by tag: Lee-Carter, Filter information matrix by tag: mortality projections