The study compared different methods for predicting extreme losses in stock markets. They looked at various Value at Risk models and focused on Extreme Value Theory techniques. The researchers found that the conditional Peaks over Threshold EVT method gave the most accurate forecasts for extreme losses, while the conditional Block Maxima EVT method was less accurate.