IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/15750.html
   My bibliography  Save this paper

On Models of Stochastic Recovery for Base Correlation

Author

Listed:
  • Li, Hui

Abstract

This paper discusses various ways to add correlated stochastic recovery to the base correlation framework for pricing CDOs. Several recent models are extended to more general framework. The pros and cons of these models for calibration to single name CDS and index CDO tranches are discussed. It is shown that negative forward recovery rate under fixed systematic factor appears in these models. This suggests that current static copula models of correlated default and recovery processes are inherently inconsistent.

Suggested Citation

  • Li, Hui, 2009. "On Models of Stochastic Recovery for Base Correlation," MPRA Paper 15750, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:15750
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/15750/1/MPRA_paper_15750.pdf
    File Function: original version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/16272/1/MPRA_paper_16272.pdf
    File Function: revised version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/17894/2/MPRA_paper_17894.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Hui, 2009. "Double Impact on CVA for CDS: Wrong-Way Risk with Stochastic Recovery," MPRA Paper 19684, University Library of Munich, Germany.
    2. Hui Li, 2013. "A Note On The Double Impact On Cva For Cds: Wrong-Way Risk With Stochastic Recovery," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 1-14.
    3. Li, Hui, 2010. "Downturn LGD: A Spot Recovery Approach," MPRA Paper 20010, University Library of Munich, Germany.
    4. Li, Hui, 2010. "Downturn LGD: A Spot Recovery Approach," MPRA Paper 71986, University Library of Munich, Germany, revised 30 Apr 2013.
    5. Li, Hui, 2009. "Extension of Spot Recovery Model for Gaussian Copula," MPRA Paper 17944, University Library of Munich, Germany.

    More about this item

    Keywords

    CDO; Gaussian Copula; Base Correlation; Stochastic Recovery; Correlated Loss Given Default;
    All these keywords.

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:15750. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.