Financial risk management using regime-switching GARCH models
Project responsable David Ardia
Abstract Several contributions have shown the statistical advantages of the Bayesian approach for estimating RSGARCH models (Ardia, 2008; Bauwens et al., 2010; Bauwens et al., in press). However, none has attempted to determine the economic and social advantages of the Bayesian approach. Our research project aims at filling this gap by providing risk managers and regulators with new methodologies for improving risk forecasts of their portfolios. As financial institutions invest in thousands of assets, models and estimation methods have to be tested on a large universe to reach relevant conclusions. Our study will thus be conducted on the basis of hundreds of stocks and asset classes worldwide.
Keywords GARCH, Markov-switching, Bayesian, Risk, VaR, ES
Type of project Applied research project
Research area Risk management, financial econometrics
Method of financing FSA, Laval University
Status Completed
Start of project 1-2015
End of project 2-2017
Overall budget 7,500 CAD
Contact David Ardia