A0956
Title: Forecasting macroeconomic risk with many predictors
Authors: Domenico Giannone - University of Washington (United States) [presenting]
Abstract: A quantile regression is developed for big data using shrinkage and deep neural networks to forecast macroeconomic risk using a wide array of predictors.