Proactive Volatility Modeling with Hemisphere Neural Networks for Macroeconomic Forecasting

A novel neural network architecture with dedicated mean and variance hemispheres provides proactive volatility forecasts based on leading indicators when possible, and reactive volatility based on previous prediction errors when necessary, outperforming a range of classical and modern machine learning models in macroeconomic point and density forecasting.