IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v57y2023i3d10.1007_s11135-020-01058-7.html
   My bibliography  Save this article

AnnuityRIR: an R-package to approximate the value of an annuity according to the non-central moments of the capitalization factor

Author

Listed:
  • Salvador Cruz Rambaud

    (University of Almería)

  • Fabrizio Maturo

    (University of Campania Luigi Vanvitelli)

  • Ana Maria Sánchez Pérez

    (University of Almería)

  • Massimo Squillante

    (University of Sannio)

Abstract

The aim of this paper is to design the package of the R statistical software called “Annuity Random Interest Rate”, referred hereinafter as AnnuityRIR, in order to calculate the value of an n-annuity with payments of one unit each when the interest rate is random. To do this, we have employed different approaches; the two main methodologies treated in this study consider that all non-central moments of the capitalization factor are known, or contrarily some of them are unknown. Consequently, five different approaches have been developed and the practical application of the proposed methods is reflected in this paper by pricing an annuity with a random risk-free interest rate during the last ten years. The version is available from CRAN: https://cran.r-project.org/web/packages/AnnuityRIR/index.html .

Suggested Citation

  • Salvador Cruz Rambaud & Fabrizio Maturo & Ana Maria Sánchez Pérez & Massimo Squillante, 2023. "AnnuityRIR: an R-package to approximate the value of an annuity according to the non-central moments of the capitalization factor," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 347-366, October.
  • Handle: RePEc:spr:qualqt:v:57:y:2023:i:3:d:10.1007_s11135-020-01058-7
    DOI: 10.1007/s11135-020-01058-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-020-01058-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11135-020-01058-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:qualqt:v:57:y:2023:i:3:d:10.1007_s11135-020-01058-7. 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.