Insolvency prediction for Portuguese agro-industrial SME: Tree Bagging Methodology
2023
Canto, José Augusto | Silva, Amélia Cristina Ferreira | Leite, Gabriela | Machado-Santos, Carlos
The aim of this study lies on the empirical application of the tree bagging methodology, in order to predict the insolvency of Portuguese Small and Medium-sized Enterprises (SME) in the agro-industrial sector, one year in advance. The database consists of financial indicators of 243 companies, available at SABI (Iberian Balance Analysis System), all from agro-industrial sector. The proposed model reveals a robust result when compared with traditional parametric models. The results show that two indicators – “short-term liquidity” and “capacity to generate results appropriate to the size” – were the most statistically relevant, both in the Proposed Model and the Logistic Regression model.
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Эту запись предоставил University of Minnesota
