choosing population projections for public policy wednesday october 29 th, 2008 kindly supported by:
TRANSCRIPT
Choosing Population Projections for Public Policy
Wednesday October 29th, 2008
Kindly Supported By:
Welcome address
Christian MumenthalerHead of Life & Health
ILC-UK & the Actuarial Professions conference on Choosing Population Projections for Public Policy
29 October 2008
Slide 3
Demographic changes are an increasing challenge for society
Ageing populations present a financial burden to the public and private sectors
Risk capital in the insurance industry can carry only a small proportion of longevity risk
Capital markets provide a large enough pool of capital to carry the risk
~GBP 1 000bn
~GBP 10bn
Age distribution, Europe 1950 – 2050
Old-age dependency ratios are sharply on the increase
The total volume of UK bulk annuity transfers from Defined Benefit pension schemes to insurers is estimated to reach GBP 10bn in 2008*, out of total liabilities of GBP 1 000bn
2008* Source: Pension Buyouts 2008, Lane Clark & Peacock
Slide 4
Catalysts for risk transfer
Well-understood and widely-accepted risk models
Credible, timely and consistent data
Motivated buyers and sellers
Christian Mumenthaler29 October 2008
Slide 5
Historically, longevity risk has typically been underestimated
Life expectancy estimates have moved by seven years over the last 30 years, and views vary widely
Actual and projected life expectancy at birth, UK males, 1966 – 2031
Christian Mumenthaler29 October 2008
Slide 6
Capital markets favour credible, cause-based stochastic projections
Actuarial subjective projections
Actuarially- adjusted historic projections
Longevity modelling
Natural perils modelling
Stochastic modelling
Inter-disciplinary cause-based projections
Maturity of development
Christian Mumenthaler29 October 2008
Slide 7
Research should focus on cause-based mortality
Heart disease
Cancer – lung
Cancer – other
Parkinson’s, Alzheimer’s, dementia
Pneumonia
External respiratory
Chronic obstructive pulmonary disease
Stroke
Other
External
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
65 70 75 80 85 90
Proportion of mortality by cause
Five-year age bands
Digestive
Christian Mumenthaler29 October 2008
Source: Office for National Statistics Twentieth Century Mortality Files
Slide 8
Capital markets favour credible, timely and frequent data
In terms of frequency and granularity there is scope for improvement
TimelinessThe recent move by the ONS to reporting deaths as they are registered reduces reporting lag
GovernanceAn independent agent with an explicit mandate to calculate and maintain indices is essential
Annually
Quarterly
Weekly
Aggregate total deaths
Aggregate age-grouped deaths
Aggregateindividual-age deaths
Geographical age-grouped deaths
Causal age-grouped deaths
Timeliness is key in data collection for parametric Eurowind bonds
Available in the UK
Not available
Slide 9
Risk requires capital
UK insurers carry capital against tail events through the Individual Capital Assessment
UK pension funds currently have no explicit capital requirement
Risk-based regulatory regime (eg, Solvency II) would require pension schemes to hold capital against risk
Christian Mumenthaler29 October 2008
Slide 10
Conclusion
Understanding longevity risk continues to be a challenge for both buyers and sellers of risk
For governments, pension schemes and insurers to continue providing retirement solutions, developing a pure longevity risk market is key
Governments can support this development
– investment in research to improve understanding of old age mortality
– frequent and timely publication of granular mortality data
– regulate to encourage adequate capital to protect pensioners and oblige pension schemes to recognise longevity riskChristian Mumenthaler
29 October 2008
The State of Knowledge on Mortality and Healthy Life
Expectancy
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