IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-05014-0_37.html
   My bibliography  Save this book chapter

Measuring and Managing the Longevity Risk: An Empirical Evidence From the Italian Pension Market

In: Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author

Listed:
  • Albina Orlando

    (Consiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo Mauro Picone)

  • Govanna di Lorenzo

    (University of Naples, Dipartimento di Scienze Economiche e Statistiche)

  • Massimiliano Politano

    (University of Naples, Dipartimento di Scienze Economiche e Statistiche)

Abstract

This paper deals with the problem of quantifying the longevity impact for defined contribution pension funds in a stochastic environment. In the accumulation phase it is well known that, in presence of a benefit guarantee, the investment risk dominates the demographic one. However, if the generic subscriber life expectancy increases, it is very likely that, in the decumulation phase, the wealth accrued will not be able to cover the liabilities of the fund. For this reason, the fund will be forced to set aside more resources in order to front its liabilities exposing itself to greater financial risk. In this paper we study the interaction between financial risk and longevity: based on the Italian experience for both financial and demographic factors, this work aims to measure the impact of longevity on the financial factor.

Suggested Citation

  • Albina Orlando & Govanna di Lorenzo & Massimiliano Politano, 2014. "Measuring and Managing the Longevity Risk: An Empirical Evidence From the Italian Pension Market," Springer Books, in: Cira Perna & Marilena Sibillo (ed.), Mathematical and Statistical Methods for Actuarial Sciences and Finance, edition 127, pages 163-166, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-05014-0_37
    DOI: 10.1007/978-3-319-05014-0_37
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:sprchp:978-3-319-05014-0_37. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.