Carlos Armando Mejía Vega

Forecasting the Term Structure of Crude Oil Futures Prices Under Mean-Reverting Dynamics and Deep Learning Models

The research indicates that combining mean-reversion theory with scientific machine learning (SciML) yields a robust, theoretically sound methodology for forecasting commodity prices.