This paper delves into the application of machine learning to forecast international stock returns based on firm characteristics. We reveal that market-specific training significantly enhances the performance of neural networks (NNs), as NNs trained on individual markets outperform those using a global model based on U.S. data. Our analysis shows that NNs ... Read More