We use machine learning tools to analyze industry return predictability based on theinformation in lagged industry returns from across the entire economy. Controlling forpost-selection inference and multiple testing, we nd significant in-sample evidence ofindustry return predictability. Lagged...

This paper forecasts earnings per share four - and eight - quarters ahead for 30 Dow firms using out-of-sample combination forecast methods. We show that many financial/economic variables, such as price-earnings ratio, dividend yield and Treasury bill rate, fail to predict out-of-sample EPS...