Financial distress prediction : the application of machine learning-based algorithms on portuguese small and medium enterprises

Financial distress prediction is an issue of great importance to several financial institutions and companies’ stakeholders. Detecting the early signs of it allows for corrective measures, reducing bankruptcies. This study examines the predictive power of 6 models, establishing a comparison between...

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Bibliographic Details
Main Author: Sarrasqueiro, Bernardo Pedrosa Afonso (author)
Format: masterThesis
Language:eng
Published: 2021
Subjects:
Financial distress prediction
Ensemble methods
Bagging
Boosting
Stacking
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
Online Access:http://hdl.handle.net/10400.14/35551
Country:Portugal
Oai:oai:repositorio.ucp.pt:10400.14/35551

Internet

http://hdl.handle.net/10400.14/35551

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