EconPapers    
Economics at your fingertips  
 

Semiparametric estimation of dynamic conditional expected shortfall models

Juan Carlos Escanciano and Silvia Mayoral

International Journal of Monetary Economics and Finance, 2008, vol. 1, issue 2, 106-120

Abstract: The paper proposes a simple estimator for a class of Conditional Expected Shortfall risk measures. The estimator is semiparametric, in the sense that it does not require a full specification of the conditional distribution of the data, and it is very simple to compute, being a least squares estimator with a closed form expression. We establish its consistency and asymptotic normality under mild regularity conditions. A simulation study provides evidence of the excellent finite-sample properties of the estimator and an application to some exchange rates highlights the semiparametric aspect of the new estimator.

Keywords: conditional value at risk; CVaR; Tail VaR; coherent risk measures; tail risk; market risk; conditional distribution; semiparametric estimation; conditional expected shortfall models. (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.inderscience.com/link.php?id=19217 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmefi:v:1:y:2008:i:2:p:106-120

Access Statistics for this article

More articles in International Journal of Monetary Economics and Finance from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijmefi:v:1:y:2008:i:2:p:106-120