The Breslow (1974) and Efron (1977) approximations are two of the most widely-used methods for calculating the computationally-intensive partial likelihood function of continuous-time Cox (1972)-type proportional hazards regressions in the presence of tied data. This article develops analytical...

We use supervised learning to identify factors that predict the cross-section of returns and maximum drawdown for stocks in the US equity market. Our data run from January 1970 to December 2019 and our analysis includes ordinary least squares, penalized linear regressions, tree-based models, and...

In this paper we survey the most recent advances in supervised machine learning and highdimensional models for time series forecasting. We consider both linear and nonlinear alternatives. Among the linear methods we pay special attention to penalized regressions and ensemble of models. The...