
An Introduction to Merger Arbitrage
In this paper the authors examine merger arbitrage as an investment strategy that seeks to profit from the successful completion of corporate mergers and acquisitions.
In this paper the authors examine merger arbitrage as an investment strategy that seeks to profit from the successful completion of corporate mergers and acquisitions.
The study employs advanced machine learning techniques, including logistic regression, tree-based models, and neural networks, to evaluate the factors influencing deal success.
Malcolm Baker and Serkan Savasoglu’s paper, “Limited Arbitrage in Mergers and Acquisitions II,” delves into the performance of merger arbitrage strategies and the factors that influence their returns.
The shrinking merger arbitrage spreads have profound implications for investors employing alternative investment strategies, particularly those utilizing return stacking.