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This thesis investigates whether machine learning models outperform logistic regression in predicting M&A deal completion in Europe, with a particular focus on whether news sentiment, alongside deal characteristics, acquirer fundamentals, and macroeconomic conditions, carries meaningful predictive power. Using European M&A transactions over 2015–2025, three models of Logistic Regression, R
