Mixture models for VaR and stress testing
In this paper we deal with the use of multivariate normal mixture distributions to model asset returns, In particular, by modelling daily asset returns as a mixture of a low-volatility and a high-volatility distribution, we obtain three main results: (i) we can use posterior probabilities to identify hectic observations; (ii) we are able to compute a non-parametric fat-tails Value at Risk by sampling repeatedly from the mixture and computing the quantile of the empirical distribution; (iii) we can use the estimated parameters of the hectic distribution for stress testing purposes. We show how these three items can be addressed using either real data and simulation methods.
|Date of creation:||Jun 2001|
|Date of revision:||14 Jun 2008|
|Contact details of provider:|| Postal: via Inama, 5 -- I-38100 Trento TN|
Web page: http://www.unitn.it/disa
More information through EDIRC
|Order Information:|| Postal: DISA Università degli Studi di Trento via Inama, 5 I-38122 Trento TN Italy|
Web: http://www.unitn.it/disa Email:
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.:
- Alessandro Beber, 2001.
"Determinants of the implied volatility function on the Italian Stock Market,"
LEM Papers Series
2001/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Alessandro Beber, 2001. "Determinants of the implied volatility function on the Italian Stock Market," Alea Tech Reports 010, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
- Luca Erzegovesi, 1999. "Rischio e incertezza in finanza: classificazione e logiche di gestione," Alea Tech Reports 006, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
- Benoit Mandelbrot, 1963. "The Variation of Certain Speculative Prices," The Journal of Business, University of Chicago Press, vol. 36, pages 394.
When requesting a correction, please mention this item's handle: RePEc:trt:aleatr:012. 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: (Luca Erzegovesi)
If references are entirely missing, you can add them using this form.