Evaluation of Various Approaches to Value at Risk
In the light of the current financial crisis, risk management and prediction of market losses seem to play a crucial role in finance. This thesis compares one day out-of-sample predictive performance of standard methods and conditional autoregressive VaR (CAViaR) by Engle & Manganelli (2004) for VaR (Value-at-risk) prediction of market losses. Comparison is made on US, Hong Kong, and Russian i