The study compares different models for predicting short-term interest rates. New two-factor stochastic volatility models outperform existing ones due to their ability to capture asymmetric drift and nonlinearity in interest rate changes. These new models are better at forecasting future interest rate levels and volatility compared to traditional diffusion and GARCH models.