Recurrent Neural Network GO-GARCH Model for Portfolio Selection
{{output}}
We develop a hybrid model of multivariate volatility that uses recurrent neural networks to capture the conditional variances of latent orthogonal factors in a GO-GARCH framework. Our approach seeks to balance model flexibility with ease of estimation and can ... ...
