Nonparametric Estimation of Conditional Expected Shortfall
AbstractWe consider a nonparametric method to estimate conditional expected shortfalls, i.e. conditional expected losses knowing that losses are larger than a given loss quantile. We derive the asymptotic properties of kernal estimators of conditional expected shortfalls in the context of a stationary process satisfying strong mixing conditions. An empirical illustration is given for several stock index returns, namely CAC40, DAX30, S&P500, DJI, and Nikkei225.
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.
Bibliographic InfoPaper provided by International Center for Financial Asset Management and Engineering in its series FAME Research Paper Series with number rp112.
Date of creation: May 2004
Date of revision:
Contact details of provider:
Postal: 40 bd. du Pont d'Arve, Case postale 3, CH - 1211 Geneva 4
Phone: 41 22 / 312 09 61
Fax: 41 22 / 312 10 26
Web page: http://www.swissfinanceinstitute.ch
More information through EDIRC
Nonparametric; Kernel; Time series; Conditional VAR; Conditional expected shortfall; Risk management; Loss severity distribution;
Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
- G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-04-16 (All new papers)
- NEP-ECM-2005-04-16 (Econometrics)
- NEP-FIN-2005-04-16 (Finance)
- NEP-RMG-2005-04-16 (Risk Management)
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Idier, Julien & Lamé, Gildas & Mésonnier, Jean-Stéphane, 2013.
"How useful is the marginal expected shortfall for the measurement of systemic exposure? A practical assessment,"
Working Paper Series
1546, European Central Bank.
- Idier, J. & Lamé, G. & Mésonnier, J S., 2011. "How useful is the Marginal Expected Shortfall for the measurement of systemic exposure? A practical assessment," Working papers 348, Banque de France.
- Ivana Komunjer, 2004.
"Asymmetric Power Distribution: Theory and Applications to Risk Measurement,"
Econometric Society 2004 Latin American Meetings
44, Econometric Society.
- Ivana Komunjer, 2007. "Asymmetric power distribution: Theory and applications to risk measurement," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 891-921.
- Chun, So Yeon & Shapiro, Alexander & Uryasev, Stan, 2011. "Conditional Value-at-Risk and Average Value-at-Risk: Estimation and Asymptotics," MPRA Paper 30132, University Library of Munich, Germany.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marilyn Barja).
If references are entirely missing, you can add them using this form.