Longevity Hedge Effectiveness: A Decomposition

43 Pages Posted: 22 Jun 2020

See all articles by Andrew J. G. Cairns

Andrew J. G. Cairns

Heriot-Watt University - Department of Actuarial Science & Statistics

David P. Blake

City, University of London

Kevin Dowd

Durham Business School

Guy Coughlan

Pacific Global Advisors

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Date Written: August 2012

Abstract

We use a case study of a pension plan wishing to hedge the longevity risk in its pension liabilities at a future date. The plan has the choice of using either a customised hedge or an index hedge, with the degree of hedge effectiveness being closely related to the correlation between the value of the hedge and the value of the pension liability. The key contribution of this paper is to show how correlation and, therefore, hedge effectiveness can be broken down into contributions from a number of distinct types of risk factors. Our decomposition of the correlation indicates that population basis risk has a significant influence on the correlation. But recalibration risk as well as the length of the recalibration window are also important, as is cohort effect uncertainty. Having accounted for recalibration risk, additional parameter uncertainty has only a marginal impact on hedge effectiveness. Finally, the inclusion of Poisson risk only starts to become significant when the smaller population falls below about 10,000 members over age 50. Our case study shows that, at least for medium and large pension plans, longevity risk can be substantially hedged using index hedges as an alternative to customised longevity hedges. As a consequence, when the hedger’s population involves more than about 10,000 members over age 50, index longevity hedges (in conjunction with the other components of an ALM strategy) can provide an effective and lower cost alternative to both a full buy-out of pension liabilities or even to a strategy using customised longevity hedges.

Keywords: Hedge effectiveness; Correlation; Value hedging; Valuation model; Longevity risk; Population basis risk; Recalibration risk

JEL Classification: C1, C11, J1, J3, J11, J32, D8, D81, G3, G32

Suggested Citation

Cairns, Andrew J. G. and Blake, David P. and Dowd, Kevin and Coughlan, Guy, Longevity Hedge Effectiveness: A Decomposition (August 2012). Available at SSRN: https://ssrn.com/abstract=3612331 or http://dx.doi.org/10.2139/ssrn.3612331

Andrew J. G. Cairns

Heriot-Watt University - Department of Actuarial Science & Statistics ( email )

Edinburgh, Scotland EH14 4AS
United Kingdom

David P. Blake (Contact Author)

City, University of London ( email )

106 Bunhill Row
London, EC1Y 8TZX
Great Britain
+44 (0) 20-7040-8600 (Phone)
+44 (0) 20-7040-8881 (Fax)

HOME PAGE: http://www.pensions-institute.org/

Kevin Dowd

Durham Business School ( email )

Mill Hill Lane
Durham, Durham DH1 3LB
United Kingdom

Guy Coughlan

Pacific Global Advisors ( email )

535 Madison Avenue
Floor 14
New York, NY 10022
United States
+1-212-405-6340 (Phone)

HOME PAGE: http://www.PacificGlobalAdvisors.com

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