We analyze the effects of better algorithmic demand forecasting on collusive profits. We show that the comparative statics crucially depend on the whether actions are observable. Thus, the optimal antitrust policy needs to take into account the institutional settings of the industry in question....

We analyze the effects of better algorithmic demand forecasting on collusive profits. We show that the comparative statics crucially depend on the whether actions are observable. Thus, the optimal antitrust policy needs to take into account the institutional settings of the industry in question....

Christian Funke aims at developing a better understanding of a central asset pricing issue: the stock price discovery process in capital markets. Using U.S. capital market data, he investigates the importance of mergers and acquisitions (MA) for stock prices and examines economic links between...

Managers frequently project high synergistic gains when announcing M&As. This paper analyzes when promised synergies are value-relevant. Using text analytical methods, we only find a positive relationship between synergy projections and announcement returns when promised numerical projections...

Einleitung in die Ermittlung der Übernahme- und Fusionswahrscheinlichkeit für Akquiseziele in der deutschen Stahlindustrie auf Basis von Finanzkennzahlen -- Methodisch-konzeptionelle Grundlagen zu den eingesetzten Arbeitstechniken und Hypothesen zu Übernahmen und Fusionen -- Identifizierung...

We build a game-theoretic model to examine how better demand forecasting due to algorithms, machine learning and artificial intelligence affects the sustainability of collusion in an industry. We find that while better forecasting allows colluding firms to better tailor prices to demand...