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Anticipating bank distress in the Eurozone : an Extreme Gradient Boosting approach
Climent Diranzo, Francisco J.; Momparler, Alexandre; … - In: Journal of business research : JBR 101 (2019), pp. 885-896
Persistent link: https://www.econbiz.de/10012103653
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Predicting failure in the US banking sector : an extreme gradient boosting approach
Carmona, Pedro; Climent, Francisco; Momparler, Alexandre - In: International review of economics & finance : IREF 61 (2019), pp. 304-323
Persistent link: https://www.econbiz.de/10012205428
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No more black boxes! : explaining the predictions of a machine learning XGBoost classifier algorithm in business failure
Carmona, Pedro; Dwekat, Aladdin; Mardawi, Zeena - In: Research in international business and finance 61 (2022), pp. 1-18
Persistent link: https://www.econbiz.de/10014246624
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The manipulation of Euribor : an analysis with machine learning classification techniques
Herrera, Rubén; Climent, Francisco; Carmona, Pedro; … - In: Technological forecasting & social change : an … 176 (2022), pp. 1-9
Persistent link: https://www.econbiz.de/10013339089
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Bankruptcy prediction using the XGBoost algorithm and variable importance feature engineering
Jabeur, Sami Ben; Stef, Nicolae; Carmona, Pedro - In: Computational economics 61 (2023) 2, pp. 715-741
Persistent link: https://www.econbiz.de/10014228460