IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-88-470-2342-0_17.html
   My bibliography  Save this book chapter

Valuation of portfolio loss derivatives in an infectious model

In: Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author

Listed:
  • Areski Cousin

    (University of Lyon, University Lyon 1, LSAF, EA 2429, ISFA)

  • Diana Dorobantu

    (University of Lyon, University Lyon 1, LSAF, EA 2429, ISFA)

  • Didier Rullière

    (University of Lyon, University Lyon 1, LSAF, EA 2429, ISFA)

Abstract

In this paper we investigate a dynamic credit risk contagion model. We consider an economy of n firms which may default directly or may be infected by other defaulting firms (a domino effect being also possible). The spontaneous default without external influence and the infections are described by conditionally independent Bernoulli-type random variables. We provide a recursive algorithm for the computation of the loss distribution that involves successive applications of the so-called Waring’s formula. The major advantage of this algorithm is that it can be applied for a large portfolio. We then examine the calibration of model parameters on CDX.NA.IG tranche quotes during the crisis.

Suggested Citation

  • Areski Cousin & Diana Dorobantu & Didier Rullière, 2012. "Valuation of portfolio loss derivatives in an infectious model," Springer Books, in: Cira Perna & Marilena Sibillo (ed.), Mathematical and Statistical Methods for Actuarial Sciences and Finance, pages 139-147, Springer.
  • Handle: RePEc:spr:sprchp:978-88-470-2342-0_17
    DOI: 10.1007/978-88-470-2342-0_17
    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:978-88-470-2342-0_17. 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.