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In this study, we apply several advanced machine learning techniques including extreme gradient boosting (XGBoost), support vector machine (SVM), and a deep neural network to predict bankruptcy using easily obtainable financial data of 3728 Belgian Small and Medium Enterprises (SME's) during the...
Persistent link: https://www.econbiz.de/10013201339
Purpose – The aim of this paper is to develop a bankruptcy prediction model for the Belgian small- and medium-sized enterprises (SMEs) through the building of a logit model that includes a selection of financial ratios. Design/methodology/approach – Using a sample of 7,152 Belgian SMEs among...
Persistent link: https://www.econbiz.de/10014989866
Persistent link: https://www.econbiz.de/10011459741
In this study, we apply several advanced machine learning techniques including extreme gradient boosting (XGBoost), support vector machine (SVM), and a deep neural network to predict bankruptcy using easily obtainable financial data of 3728 Belgian Small and Medium Enterprises (SME’s) during...
Persistent link: https://www.econbiz.de/10012814176