... can bring a fresh perspective to international migration forecasting research. Design/methodology/approach This study proposes a conditional generative adversarial neural network model incorporating the migration knowledge – conditional generative adversarial network (MK-CGAN). By using...

... credit risk trends can help investors avoid market risks. The purpose of this study is to investigate the prediction model that can effectively predict credit default swaps (CDS). Design/methodology/approach A novel generative adversarial network (GAN) for CDS prediction is proposed. The authors take...