A comparative study of VaR models
In this paper, we investigate the predictive performance of eight common Value at Risk (VaR) estimation methods with the daily data of OMX Stockholm 30 and FTSE 100 indexes. These methods include non-parametric, parametric as well as Extreme Value Theory approaches whose daily and 10-day estimates are then evaluated using the Christoffersen frequency test. The reason why we choose these two stock