The article introduces a new method for predicting extreme financial risks by using a mix of economic and financial data. This method improves upon existing models by selecting only the most important factors that affect risk levels. By testing it with U.S. stock market data, the researchers found that their approach gives accurate forecasts of Value-at-Risk and Expected Shortfall, especially during times of financial crisis.