IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-99638-3_52.html
   My bibliography  Save this book chapter

Mortality Risk. Incorporating the New Seasonal-Ageing Index (SAI) into a Pricing Strategy

In: Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author

Listed:
  • Josep Lledó

    (Universitat de València)

  • Jose M. Pavía

    (Universitat de València)

Abstract

Insurance companies use annual life tables to manage mortality risks despite intra-annual mortality risks showing sub-annual fluctuations. The difficulty of (accurately) measuring and computing these fluctuations is likely behind this decision. The research carried out by [5], however, offers new opportunities by developing a methodology that, for the first time in the literature, allows actuaries and statisticians to derive quarterly life tables from annual tables simply by using the so-called SAI (Seasonal-Ageing Indexes) coefficients. SAIs capture mortality risks taking into account both source of fluctuations, age and calendar quarters. This paper aims to discern the implications of using an approach based on SAIs and study how the new methodology could be employed in a competitive market where different insurance companies operate. On the one hand, we exemplify the new procedure on a real insurance portfolio by calculating premiums for different quarters. This gives, for each age and calendar quarter, the distance (measured in euros) between using annual and SAI-quarterly life tables. On the other hand, we study the market opportunities that the new methodology offers by simulating a two-company market, where one of the companies incorporates SAI-quarterly tables in its pricing processes. We analyse the impact of the use of these different market strategies on profit and loss accounts of both companies. The results of this research highlight some of the practical advantages of using the SAI-based approach.

Suggested Citation

  • Josep Lledó & Jose M. Pavía, 2022. "Mortality Risk. Incorporating the New Seasonal-Ageing Index (SAI) into a Pricing Strategy," Springer Books, in: Marco Corazza & Cira Perna & Claudio Pizzi & Marilena Sibillo (ed.), Mathematical and Statistical Methods for Actuarial Sciences and Finance, pages 321-326, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-99638-3_52
    DOI: 10.1007/978-3-030-99638-3_52
    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

    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:978-3-030-99638-3_52. 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.