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This paper tests the parametric estimation method for Value at Risk and Expected Shortfall estimation together with the historical simulation method to find out if the historical simulation could yield accurate enough estimations in stormy and calm periods. Given that the parametric estimation proved superior, the thesis examines which volatility forecasting models, using which distribution assump
