A Versatile Copula and Its Application to Risk Measures
This paper proposes a copula that has versatile properties. We apply grouped t and versatile t copulas to estimate Value at Risk and expected shortfall using a sample of firms in the US property-liability insurance industry. We perform goodness-of-fit tests to assess the adequacy of the copula models selected. We find that a versatile copula is effective in estimating dependence structures of non-homogeneous multivariate risks.
Volume (Year): 9 (2010)
Issue (Month): 3 (December)
|Contact details of provider:|| Postal: |
Web page: http://www.ijbe.org/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Genest, Christian & Rémillard, Bruno & Beaudoin, David, 2009. "Goodness-of-fit tests for copulas: A review and a power study," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 199-213, April.
When requesting a correction, please mention this item's handle: RePEc:ijb:journl:v:9:y:2010:i:3:p:213-231. See general 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: (Yi-Ju Su)
If references are entirely missing, you can add them using this form.