IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/10595.html

A Multivariate Model of Strategic Asset Allocation with Longevity Risk

Author

Listed:
  • Favero, Carlo A.
  • Bisetti, Emilio
  • Nocera, Giacomo
  • Tebaldi, Claudio

Abstract

Generalized unexpected raise in life expectancy is a source of aggregate risk. Longevity-linked securities are a natural instrument to reallocate these risks by making them tradable in the financial market. This paper extends the Campbell and Viceira (2005) strategic asset allocation model including a longevity-linked investment possibility in addition to equity and fixed income securities. Estimation of the model, based on prices for standardized annuities publicly offered by US insurance companies, shows that aggregate shocks to survival probabilities are predictors for long term returns of the longevity linked securities, and reveals an unexpected predictability pattern. The empirical valuation of the market price of longevity risk confirms that longevity linked securities offer cheap funding opportunities to asset managers willing to leverage their investment portfolio.

Suggested Citation

  • Favero, Carlo A. & Bisetti, Emilio & Nocera, Giacomo & Tebaldi, Claudio, 2015. "A Multivariate Model of Strategic Asset Allocation with Longevity Risk," CEPR Discussion Papers 10595, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:10595
    as

    Download full text from publisher

    File URL: https://cepr.org/publications/DP10595
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Yajing Xu & Michael Sherris & Jonathan Ziveyi, 2020. "Market Price of Longevity Risk for a Multi‐Cohort Mortality Model With Application to Longevity Bond Option Pricing," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(3), pages 571-595, September.
    3. Davide Feleppa & Immacolata Oliva, 2025. "Optimal portfolio choice in jump-diffusion markets with longevity risk," Computational Management Science, Springer, vol. 22(2), pages 1-48, December.
    4. Andrea Modena & Luca Regis & Giorgio Rizzini, 2025. "The Equilibrium Effects of Mortality Risk," CRC TR 224 Discussion Paper Series crctr224_2025_709, University of Bonn and University of Mannheim, Germany.
    5. Amariei, Cosmina, 2020. "Asset Allocation in Europe: Reality vs. Expectations," ECMI Papers 27304, Centre for European Policy Studies.
    6. Carlo A. Favero & Ruben Fernandez-Fuertes, 2023. "Monetary Policy in the COVID Era and Beyond: the Fed vs the ECB," BAFFI CAREFIN Working Papers 23209, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    7. Chen, Zhanhui & Yang, Bowen, 2019. "In search of preference shock risks: Evidence from longevity risks and momentum profits," Journal of Financial Economics, Elsevier, vol. 133(1), pages 225-249.
    8. Rachel WINGENBACH & Jong-Min KIM & Hojin JUNG, 2020. "Living Longer in High Longevity Risk," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 86(1), pages 47-86, March.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cpr:ceprdp:10595. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.