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ArticleBankruptcy prediction for Russian companies: Application of combined classifiers

Елена Анатольевна Федорова2013

Article2013

Bankruptcy prediction for Russian companies: Application of combined classifiers

Елена Анатольевна Федорова · Evgenii V. Gilenko · Довженко Сергей Евгеньевич

90 citations·0/0 files stored·Expert Systems with Applications

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

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References

1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models 1983The Assessment of Company Solvency and Performance Using a Statistical Model 2008Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey 2009Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks 2011Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches 2008A binary classification method for bankruptcy prediction

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2017Dynamic prediction of financial distress using Malmquist DEA 2016An Effective Computational Model for Bankruptcy Prediction Using Kernel Extreme Learning Machine Approach 2018Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries 2016

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Year2013

Typearticle

Published2013-07-17

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations90

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.eswa.2013.07.032

openalex_workW2026316875

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