The researchers developed a new method to predict future US yield curve values without using specific mathematical models. They used nonparametric kernel estimation of functional data to analyze monthly yield curve data. Their approach outperformed traditional models, especially for long-term predictions. This method could be valuable for financial professionals and policymakers in creating long-term yield curve scenarios.