“Improved factor timing through neural networks with economic restrictions facilitates more reliable investigation into the economic mechanisms driving factor risk premia, and underscores the value of deep learning for factor investing.”
“We develop a dynamic multi-task deep learning model to forecast six well-known factors, using 123 macroeconomic and 149 financial predictors, in the 57 year period from January 1965 to December 2021.”