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Modelling Mortality For Pension Schemes

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  • Hunt, Andrew
  • Blake, David

Abstract

For many pension schemes, a shortage of data limits their ability to use sophisticated stochastic mortality models to assess and manage their exposure to longevity risk. In this study, we develop a mortality model designed for such pension schemes, which compares the evolution of mortality rates in a sub-population with that observed in a larger reference population. We apply this approach to data from the CMI Self-Administered Pension Scheme study, using U.K. population data as a reference. We then use the approach to investigate the potential differences in the evolution of mortality rates between these two populations and find that, in many practical situations, basis risk is much less of a problem than is commonly believed.

Suggested Citation

  • Hunt, Andrew & Blake, David, 2017. "Modelling Mortality For Pension Schemes," ASTIN Bulletin, Cambridge University Press, vol. 47(2), pages 601-629, May.
    • Handle: RePEc:cup:astinb:v:47:y:2017:i:02:p:601-629_00
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    Cited by:

    1. Blake, David & Cairns, Andrew J.G., 2021. "Longevity risk and capital markets: The 2019-20 update," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 395-439.
    2. Séverine Arnold & Anca Jijiie, 2020. "Retirement Ages by Socio-Economic Class," Risks, MDPI, vol. 8(4), pages 1-40, October.
    3. Massimiliano Menzietti & Maria Francesca Morabito & Manuela Stranges, 2019. "Mortality Projections for Small Populations: An Application to the Maltese Elderly," Risks, MDPI, vol. 7(2), pages 1-25, March.

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