Scientists have found a new way to improve the accuracy of a type of mathematical model called Archimedean copulas. By making a specific change to the formula that defines these models, they can better fit real-world data without losing important information. This adjustment also lets them control how much the model focuses on extreme events, like very high or very low values. Overall, this method helps create more reliable models that work well for a wide range of situations.