Forecasting Crude Oil Futures Prices: A Stacking Model With Mixed‐Frequency Predictors, Machine Learning, and Forecast Combination
This study presents a stacking model that integrates mixed‐frequency predictors, machine learning models, and forecast combination methods to enhance predictive accuracy and confirms its robustness across the business cycle and provides preliminary, small‐sample evidence from the COVID‐19 pandemic.