Subscribe to DSC Newsletter

The Copula AGAIN - Forecasting VaR and Expected Shortfall using Dynamical Systems

Forecasting VaR and Expected Shortfall using Dynamical Systems A Risk Management Strategy

Cyril Caillault; Chief Investor Officer, Quantitative Strategies,
Fixed Income and Currencies, Fortis Investments,

Dominique Guégan, PSE – CES-MSE - Université Paris 1 – Panthéon – Sorbonne

Abstract
Using non-parametric and parametric models, we show that the bivariate distribution of an Asian portfolio is not stable along all the period under study. We suggest several dynamic models to compute two market risk measures, the Value at Risk and the Expected Shortfall: the RiskMetrics methodology, the Multivariate GARCH models, the Multivariate Markov-Switching models, the empirical histogram and the dynamic copulas.

We discuss the choice of the best method with respect to the policy management of bank supervisors. The copula approach seems to be a good compromise between all these models. It permits taking financial crises into account and obtaining a low capital requirement during the most important crises.

http://halshs.archives-ouvertes.fr/docs/00/37/57/65/PDF/caillault-g...

Views: 390

Tags: COPULA, asymptotix, fortis, sorbonne

Comment

You need to be a member of AnalyticBridge to add comments!

Join AnalyticBridge

On Data Science Central

© 2020   TechTarget, Inc.   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service