Exploring the Practicality of Merger Arbitrage
The study employs advanced machine learning techniques, including logistic regression, tree-based models, and neural networks, to evaluate the factors influencing deal success.
Limited Arbitrage in Mergers and Acquisitions
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.
Trend-Following, Risk-Parity and the Influence of Correlations
While his paper focuses on trend-following, the emphasis on managing correlations and employing sophisticated weighting schemes resonates with the core principles of return stacking.