The article introduces a new method for predicting extreme financial risks, like market crashes. It combines different statistical techniques to better understand how stock market volatility affects risk levels. By testing this method on real market data, the researchers found that it can accurately forecast extreme losses, like the 1% and 2.5% worst-case scenarios. This new approach shows promise for improving risk management in financial markets.