This paper examines the cross-sectional properties of stock return forecasts based on Fama-MacBeth regressions using all firms contained in the STOXX Europe 600 index during the September 1999-December 2018 period. Our estimation approach is strictly out-of-sample, mimicking an investor who...

We investigate the financing strategies and valuation effects of 247 IPO firms at the "Neuer Markt" in Germany that either issued additional equity (SEO) or repurchased shares (SRP) within five years after going public. IPOs issuing additional equity exhibit a temporary outperformance before the...

This paper evaluates the performance of machine learning methods in forecasting stock returns. Compared to a linear benchmark model, interactions and non-linear effects help improve predictive performance. But machine learning models must be adequately trained and tuned to overcome the high...