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Hedging Longevity Risk in Defined Contribution Pension Schemes

Hedging longevity risk in defined contribution pension schemes
Authors: Ankush Agarwal; Christian-Oliver Ewald; Yongjie Wang;

Hedging Longevity Risk in Defined Contribution Pension Schemes

Abstract

AbstractPension schemes all over the world are under increasing pressure to efficiently hedge longevity risk imposed by ageing populations. In this work, we study an optimal investment problem for a defined contribution pension scheme that decides to hedge longevity risk using a mortality-linked security, typically a longevity bond. The pension scheme promises a minimum guarantee which allows the members to purchase lifetime annuities upon retirement. The scheme manager invests in the risky and riskless assets available on the market, including the longevity bond. We transform the corresponding constrained optimal investment problem into a single investment portfolio optimization problem by replicating future contributions from members and the minimum guarantee provided by the scheme. We solve the resulting optimization problem using the dynamic programming principle. Through a series of numerical studies, we show that the longevity risk has an important impact on the investment strategy performance. Our results add to the growing evidence supporting the use of mortality-linked securities for efficient hedging of longevity risk.

Countries
Norway, Sweden
Keywords

longevity bond, Dynamic programming principle, Economics, Dynamic programming in optimal control and differential games, Applications of stochastic analysis (to PDEs, etc.), dynamic programming principle, VDP::Samfunnsvitenskap: 200::Økonomi: 210, FOS: Economics and business, Stochastic control, Risk Management (q-fin.RM), Actuarial mathematics, defined contribution pension scheme, Optimal stochastic control, stochastic control, Defned contribution pension scheme, Longevity bond, Nationalekonomi, Quantitative Finance - Risk Management

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Average
Green
hybrid
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