This paper argues that the standard zero-return benchmark is too easy to beat in #stock-return forecasting. Using a tougher benchmark, only flexible nonlinear #ML models show consistent predictive gains, mainly among small, value, and illiquid stocks. spkl.io/633297nTiB
#Finance
