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ArticleForecast bankruptcy using a blend of clustering and MARS model: case of US banks

Zeineb Affes2018

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Forecast bankruptcy using a blend of clustering and MARS model: case of US banks

Zeineb Affes · Rania Hentati-Kaffel

28 citations·0/0 files stored·Annals of Operations Research

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Financial Distress and Bankruptcy Prediction Banking stability, regulation, efficiency Forecasting Techniques and Applications

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References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy 1966Financial Ratios As Predictors of Failure 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models 1977Early warning of bank failure 1990A neural network model for bankruptcy prediction 1985Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis

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2022Designing topological data to forecast bankruptcy using convolutional neural networks 2020Proposing a Multidimensional Bankruptcy Prediction Model: An Approach for Sustainable Islamic Banking

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Year2018

Typearticle

Published2018-04-10

VenueAnnals of Operations Research

ISSN-L0254-5330

Languageen

Citations28

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1007/s10479-018-2845-8

openalex_workW3022873702

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