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Hedging longevity risk in defined contribution pension schemes
Adam Smith Business School, University of Glasgow, Glasgow, G12 8QQ, United Kingdom.
Adam Smith Business School, University of Glasgow, Glasgow, G12 8QQ, United Kingdom; Business School, Inland Norway University of Applied Sciences, Lillehammer, Norway.ORCID iD: 0000-0003-3288-0164
Adam Smith Business School, University of Glasgow, Glasgow, G12 8QQ, United Kingdom.
2023 (English)In: Computational Management Science, ISSN 1619-697X, E-ISSN 1619-6988, Vol. 20, no 1, article id 11Article in journal (Refereed) Published
Abstract [en]

Pension 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.

Place, publisher, year, edition, pages
Springer Nature, 2023. Vol. 20, no 1, article id 11
Keywords [en]
Defned contribution pension scheme, Longevity bond, Stochastic control, Dynamic programming principle
National Category
Economics
Identifiers
URN: urn:nbn:se:umu:diva-238862DOI: 10.1007/s10287-023-00440-8ISI: 000942764800001Scopus ID: 2-s2.0-85149558658OAI: oai:DiVA.org:umu-238862DiVA, id: diva2:1958762
Available from: 2025-05-16 Created: 2025-05-16 Last updated: 2025-05-19Bibliographically approved

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Ewald, Christian Oliver

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