We apply machine learning techniques to predict international stock returns using firm characteristics. Market-specific features are important, as neural network models (NNs) achieve stronger results when they are trained in each market separately than in a global model trained with U.S. data. NNs o...
Keywords:
International Asset Pricing, Cross-section of Stock Returns, Market Integration, Neural Networks, Regression Trees
