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Assessing bank default determinants via machine learning · Study

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ArticleAssessing bank default determinants via machine learning

Valentina Lagasio2022

Article2022

Assessing bank default determinants via machine learning

Valentina Lagasio · Francesca Pampurini · Annagiulia Pezzola · Anna Grazia Quaranta

16 citations·0/0 files stored·Information Sciences

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Financial Distress and Bankruptcy Prediction Banking stability, regulation, efficiency Imbalanced Data Classification Techniques

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References

2000Liberalization, Moral Hazard in Banking, and Prudential Regulation: Are Capital Requirements Enough?1934The Concept of Monopoly and the Measurement of Monopoly Power 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions 2012Bank competition and stability: Cross-country heterogeneity 2003Credit rating analysis with support vector machines and neural networks: a market comparative study 2010Consumer credit-risk models via machine-learning algorithms 1994Bankruptcy prediction using neural networks 2008A New Way to Measure Competition

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Year2022

Typearticle

Published2022-11-03

VenueInformation Sciences

ISSN-L0020-0255

Languageen

Citations16

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.ins.2022.10.128

openalex_workW4308902826

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