Predicting financial distress of contractors in the construction industry using ensemble learning

•This study proposes financial distress prediction models based on ensemble learning.•The models provide two- and three-year ahead prediction of financial distress.•Performance was evaluated for contractors in South Korea from 2007 to 2012.•The models contribute to provide a financial early warning...

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Veröffentlicht in:	Expert systems with applications 2018-11, Vol.110, p.1-10
Hauptverfasser:	Choi, Hyunchul, Son, Hyojoo, Kim, Changwan
Format:	Artikel
Sprache:	eng
Schlagworte:	Bankruptcy Construction industry Contractors Economic crisis Ensemble learning Financial crisis Financial distress Mathematical models Model accuracy Prediction Predictions
Online-Zugang:	Volltext
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