Using a random sample of 60% of our cross-sectional data on U.S. stocks from 1964 to 2012, we trained four machine learning algorithms to forecast debt paydown over a one-year horizon. An evaluation of these candidate models on half of the hold-out sample (20% of the original dataset) showed...

Using 719,830 analyst recommendations from 1994 to 2017, we construct various portfolios based on levels and changes in analyst recommendations and examine how the value of those recommendations in predicting the abnormal stock returns has changed over time. We find that the predictive value of...

Strategische Entscheidungen und die Trennung von Eigentum und Kontrolle -- Reputation im Zusammenspiel von Kapitalgebern und Management -- Die Bewertung von M&A-Transaktionen -- Die amerikanische Banken- und Telekommunikationsindustrie -- Empirische Untersuchung -- Fazit und Schlussbemerkungen.

Gaston Michel investigates whether shocks to real estate markets constitute an important source of the risk that is priced in the cross section of equity returns. His results document that real estate risk explains a large part of the cross-sectional variation in equity returns. He shows that an...