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Mortality-Indexed Annuities Managing Longevity Risk Via Product Design

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  • Andreas Richter
  • Frederik Weber

Abstract

Longevity risk has become a major challenge for governments, individuals, and annuity providers in most countries. In its aggregate form, the systematic risk of changes to general mortality patterns, it has the potential for causing large cumulative losses for insurers. Since obvious risk management tools, such as (re)insurance or hedging, are less suited for managing an annuity provider’s exposure to this risk, we propose a type of life annuity with benefits contingent on actual mortality experience.Similar adaptations to conventional product design exist with investment-linked annuities, and a role model for long-term contracts contingent on actual cost experience can be found in German private health insurance. By effectively sharing systematic longevity risk with policyholders, insurers may avoid cumulative losses.Policyholders also gain in comparison with a comparable conventional annuity product: Using a Monte Carlo simulation, we identify a significant upside potential for policyholders while downside risk is limited.

Suggested Citation

  • Andreas Richter & Frederik Weber, 2011. "Mortality-Indexed Annuities Managing Longevity Risk Via Product Design," North American Actuarial Journal, Taylor & Francis Journals, vol. 15(2), pages 212-236.
  • Handle: RePEc:taf:uaajxx:v:15:y:2011:i:2:p:212-236
    DOI: 10.1080/10920277.2011.10597618
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    Citations

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    Cited by:

    1. Debonneuil, Edouard & Loisel, Stéphane & Planchet, Frédéric, 2018. "Do actuaries believe in longevity deceleration?," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 325-338.
    2. Milevsky, Moshe A. & Salisbury, Thomas S., 2015. "Optimal retirement income tontines," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 91-105.
    3. Donnelly, Catherine & Guillén, Montserrat & Nielsen, Jens Perch, 2014. "Bringing cost transparency to the life annuity market," Insurance: Mathematics and Economics, Elsevier, vol. 56(C), pages 14-27.
    4. 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.
    5. Donnelly, Catherine & Guillén, Montserrat & Nielsen, Jens Perch, 2013. "Exchanging uncertain mortality for a cost," Insurance: Mathematics and Economics, Elsevier, vol. 52(1), pages 65-76.
    6. Hanbali, Hamza & Denuit, Michel & Dhaene, Jan & Trufin, Julien, 2019. "A dynamic equivalence principle for systematic longevity risk management," Insurance: Mathematics and Economics, Elsevier, vol. 86(C), pages 158-167.
    7. Annamaria Olivieri, 2021. "Designing Annuities with Flexibility Opportunities in an Uncertain Mortality Scenario," Risks, MDPI, vol. 9(11), pages 1-18, October.
    8. Bravo, Jorge Miguel & El Mekkaoui de Freitas, Najat, 2018. "Valuation of longevity-linked life annuities," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 212-229.
    9. Blake, David & El Karoui, Nicole & Loisel, Stéphane & MacMinn, Richard, 2018. "Longevity risk and capital markets: The 2015–16 update," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 157-173.
    10. Homa Magdalena, 2020. "Mathematical Reserves vs Longevity Risk in Life Insurances," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 24(1), pages 23-38, March.
    11. Mariarosaria Coppola & Maria Russolillo & Rosaria Simone, 2019. "An Indexation Mechanism for Retirement Age: Analysis of the Gender Gap," Risks, MDPI, vol. 7(1), pages 1-13, February.
    12. Bommier, Antoine & Schernberg, Hélène, 2021. "Would you prefer your retirement income to depend on your life expectancy?," Journal of Economic Theory, Elsevier, vol. 191(C).

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