Predicting failure in the US banking sector an extreme gradient boosting approach

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Bibliographische Detailangaben
Veröffentlicht in:International review of economics & finance
1. Verfasser: Carmona, Pedro (VerfasserIn)
Weitere Verfasser: Climent, Francisco (VerfasserIn), Momparler, Alexandre (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2019
Schlagworte:
ank financial distress > Bank failure prediction > Bank failure prevention > Extreme gradient boosting > Machine learning > XGBoost > Aufsatz in Zeitschrift
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