IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-88-470-1481-7_7.html

Some classes of multivariate risk measures

In: Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author

Listed:
  • Marta Cardin

    (University Ca’ Foscari Venice, Department of Applied Mathematics)

  • Elisa Pagani

    (University of Verona, Department of Economics)

Abstract

In actuarial literature the properties of risk measures or insurance premium principles have been extensively studied. We propose a new kind of stop-loss transform and a related order in the multivariate setting and some equivalent conditions. In our work there is a characterisation of some particular classes of multivariate and bivariate risk measures and a new representation result in a multivariate framework.

Suggested Citation

  • Marta Cardin & Elisa Pagani, 2010. "Some classes of multivariate risk measures," Springer Books, in: Marco Corazza & Claudio Pizzi (ed.), Mathematical and Statistical Methods for Actuarial Sciences and Finance, pages 63-73, Springer.
  • Handle: RePEc:spr:sprchp:978-88-470-1481-7_7
    DOI: 10.1007/978-88-470-1481-7_7
    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:978-88-470-1481-7_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.