IDEAS home Printed from https://ideas.repec.org/p/ebg/essewp/dr-12006.html
   My bibliography  Save this paper

Modelling macroeconomic e ects and expert judgements in operational risk : a Bayesian approach

Author

Listed:
  • Capa Santos, Holger

    (Escuela Politecnica Nacional (EPN))

  • Kratz, Marie

    (ESSEC Business School)

  • Mosquera Munoz, Franklin

    (Escuela Politecnica Nacional (EPN))

Abstract

This work presents a contribution on operational risk under a general Bayesian context incorporating information on market risk pro le, experts and operational losses, taking into account the general macroeconomic environment as well. It aims at estimating a characteristic parameter of the distributions of the sources, market risk pro le, experts and operational losses, chosen here at a location parameter. It generalizes under more realistic conditions a study realized by Lambrigger, Shevchenko and Wuthrich, and analyses macroeconomic e ects on operational risk. It appears that severities of operational losses are more related to the macroeconomics environment than usually assumed.

Suggested Citation

  • Capa Santos, Holger & Kratz, Marie & Mosquera Munoz, Franklin, 2012. "Modelling macroeconomic e ects and expert judgements in operational risk : a Bayesian approach," ESSEC Working Papers WP1206, ESSEC Research Center, ESSEC Business School.
  • Handle: RePEc:ebg:essewp:dr-12006
    as

    Download full text from publisher

    File URL: http://hal-essec.archives-ouvertes.fr/docs/00/69/04/48/PDF/WP1206.pdf
    Download Restriction: no
    ---><---

    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:ebg:essewp:dr-12006. 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: Sophie Magnanou (email available below). General contact details of provider: https://edirc.repec.org/data/essecfr.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.