Factor modeling is a powerful statistical technique that permits common dynamics to be captured in large panel of data with few latent variables, or factors, thus alleviating the curse dimensionality. Despite its popularity and widespread use for various applications ranging from genomics finance, this methodology has predominantly remained linear. This study estimates factors nonlinearly throu...
