Tag: Kevin Dowd

Phantoms never die: living with unreliable population data

Mary Pat Campbell

Link: https://www.macs.hw.ac.uk/~andrewc/papers/JRSS2016B.pdf

Graphic:

Summary:

The analysis of national mortality trends is critically dependent on the quality of the population, exposures and deaths data that underpin death rates. We develop a framework that allows us to assess data reliability and to identify anomalies, illustrated, by way of example, using England and Wales population data. First, we propose a set of graphical diagnostics that help to pinpoint anomalies. Second, we develop a simple Bayesian model that allows us to quantify objectively the size of any anomalies. Two-dimensional graphical diagnostics and modelling techniques are shown to improve significantly our ability to identify and quantify anomalies. An important conclusion is that significant anomalies in population data can often be linked to uneven patterns of births of people in cohorts born in the distant past. In the case of England and Wales, errors of more than 9% in the estimated size of some birth cohorts can be attributed to an uneven pattern of births. We propose methods that can use births data to improve estimates of the underlying population exposures. Finally, we consider the effect of anomalies on mortality forecasts and annuity values, and we find significant effects for some cohorts. Our methodology has general applicability to other sources of population data, such as the Human Mortality Database.

Keywords: Baby boom;Cohort–births–deaths exposures methodology; Convexity adjustment ratio; Deaths; Graphical diagnostics; Population data

Author(s): Andrew J.G.Cairns, Heriot-Watt University, Edinburgh, UK David Blake, Cass Business School, London, UK Kevin Dowd Durham University Business School, UK and Amy R. Kessler Prudential Retirement, Newark, USA

Publication Date: 2016

Publication Site: Journal of the Royal Statistical Society

J. R. Statist. Soc. A (2016) 179, Part 4, pp. 975–1005

Matching adjustment becomes a battleground in UK’s Solvency II consultation

Mary Pat Campbell

Link: https://www.insuranceerm.com/analysis/matching-adjustment-becomes-a-battleground-in-uks-solvency-ii-consultation.html

Excerpt:

Solvency II sets strict requirements over what kinds of liabilities and assets are eligible for the MA [matching adjustment], and the governance of them. In the UK’s Solvency II consultation, respondents have argued a looser regime would be good for insurers – and good for the country.

…..

Many of these suggestions have been previously floated in industry circles, some since even before Solvency II came into effect in 2016. But there are a growing number of experts calling for a much more dramatic rethink of the MA – and whether it should even exist.

Dean Buckner, a former regulator at the Bank of England who worked on the MA, and Kevin Dowd, professor of finance and economics at Durham University, have been at the forefront of arguing the MA creates “fake capital” and puts annuity payments at risk.

In their submission to the consultation, they write: “The MA allows firms to recognise some anticipated risky future profits as if they were certain, thereby allowing them to be distributed before being realised. If the risky future profits are not realised – bear in mind that they are called ‘risky’ for a reason – then the capital created by MA will vanish, and policyholders will be at risk.”

Author(s): Christopher Cundy

Publication Date: 23 February 2021

Publication Site: Insurance ERM