Predicting takeover rumor accuracy with machine learning
This study applies machine learning models such as TabNet, XGBoost, CatBoost, Support Vector Machines, a Multilayer Perceptron, and Logistic Regression to predict takeover-rumor accuracy using a proprietary dataset of 2074 rumor articles with identifiable target firms, screened from over 30,000 news...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Elsevier
2026-06-01
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| Schriftenreihe: | International Review of Economics & Finance |
| Schlagworte: | |
| Online-Zugang: | http://www.sciencedirect.com/science/article/pii/S1059056026003175 |
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