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Bankruptcy prediction for SMEs using relational data · Study

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ArticleBankruptcy prediction for SMEs using relational data

Ellen Tobback2017

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Articlegreen2017

Bankruptcy prediction for SMEs using relational data

Ellen Tobback · Anthony Graham Bellotti · Julie Moeyersoms · Marija Stankova · David Martens

122 citations·0/0 files stored·Decision Support Systems

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Financial Distress and Bankruptcy Prediction Corporate Insolvency and Governance Forecasting Techniques and Applications

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References

2001Birds of a Feather: Homophily in Social Networks 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy 1966Financial Ratios As Predictors of Failure 2004Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters 2004An application of support vector machines in bankruptcy prediction model 1994Bankruptcy prediction using neural networks

Cited by

2018A Data Mining-Based Framework for Supply Chain Risk Management 2022Bankruptcy Prediction Using Machine Learning Techniques 2020Evaluating the credit risk of SMEs using legal judgments 2020Corporate failure prediction models in the twenty-first century: a review 2022Regulatory technology (Reg-Tech) in financial stability supervision: Taxonomy, key methods, applications and future directions

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Year2017

Typearticle

Published2017-07-18

VenueDecision Support Systems

ISSN-L0167-9236

Languageen

Citations122

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.dss.2017.07.004

openalex_workW2400568945

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2024

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2022Systematic Review of Financial Distress Identification using Artificial Intelligence Methods