Forecasting Crude Oil Prices with Major S&P 500 Stock Prices: Deep Learning, Gaussian Process, and Vine Copula

Mathematics

• Stock Prices 100%
• Forecasting 85%
• Copula 77%
• Gaussian Process 73%
• Learning 67%
• Process Modeling 65%
• Multivariate Time Series 64%
• Regression 57%
• Nonlinear Analysis 54%
• Principal Component Analysis 52%
• Bayesian Variable Selection 35%
• Data Reduction 34%
• Cap 29%
• Forecast 29%
• Prediction Error 29%
• Dimension Reduction 28%
• Covariates 21%
• Methodology 18%

Physics & Astronomy

• crude oil 89%
• forecasting 86%
• learning 81%
• regression analysis 76%
• oils 67%
• principal components analysis 62%
• caps 26%
• methodology 20%
• predictions 13%