A new model for predicting changes in financial market volatility has been developed. It includes a special component to account for long-term trends in volatility and adjusts for how correlations between assets change over time. By analyzing real-world data, the researchers showed that their method accurately estimates these parameters and can be used to make better predictions about market behavior.