L'approche dare pour une mesure de risque diversifiée
AbstractThe objective of this paper is to provide a complete framework to aggregate different quantile and expectile models for obtaining more diversified Value-at-Risk and Expected Shortfall measures, by applying the diversification principle to model risk. Following Taylor  and Gouriéroux and Jasiak , we introduce a new class of models called Dynamic AutoRegressive Expectiles (dare). We first briefly present the main literature about VaR and es estimations, and we secondly explain the dare approach and how expectiles can be used to estimate quantile risk measures. We finally use the main validation tests to compare the dare approach to other traditional methods for computing extreme risk measures on the French stock market. Classification JEL : C14, C50, G11, G32.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Presses de Sciences-Po in its journal Revue économique.
Volume (Year): Volume 61 (2010)
Issue (Month): 3 ()
Contact details of provider:
Web page: http://www.cairn.info/revue-economique.htm
Other versions of this item:
- Benjamin Hamidi & Patrick Kouontchou & Bertrand Maillet, 2010. "L'approche DARE pour une mesure de risque diversifiée," UniversitÃ© Paris1 PanthÃ©on-Sorbonne (Post-Print and Working Papers) halshs-00476387, HAL.
- Benjamin Hamidi & Patrick Kouontchou & Bertrand Maillet, 2010. "L'approche DARE pour une mesure de risque diversifiée," Documents de travail du Centre d'Economie de la Sorbonne 10032, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jean-Baptiste de Vathaire).
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.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.