Modern investors face a high-dimensional prediction problem: thousands of observable variables are potentially relevant for forecasting. We reassess the conventional wisdom on market efficiency in light of this fact. In our model economy, which resembles a typical machine learning setting, N...

Modern investors face a high-dimensional prediction problem: thousands of observable variables are potentially relevant for forecasting. We reassess the conventional wisdom on market efficiency in light of this fact. In our model economy, which resembles a typical machine learning setting, N...

Recent advances in telecommunications, particularly using fibre technologies, permit many services based on data-processing to be performed anywhere in the world. They thus become tradable and subject to the laws of comparative advantage. A good example is data-processing within large...