Forecasting mergers and acquisitions failure based on partial-sigmoid neural network and feature selection
Traditional forecasting methods in mergers and acquisitions (M&A) data have two limitations that significantly reduce forecasting accuracy: (1) the imbalance of data, that is, the failure cases of M&A are far fewer than the successful cases (82%/18% of our sample), and (2) both the bidder an...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
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Public Library of Science (PLoS)
2021
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| Acceso en línea: | https://doaj.org/article/08c9191c10c6443e82072896b5966df6 |
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