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The prediction for listed companies’ financial distress by using multiple prediction methods with rough set and Dempster–Shafer evidence theory
16 references·16 citing·23 second hopsampled
The prediction for listed companies’ financial distress by using multiple prediction methods with rough set and Dempster–Shafer evidence theory (2011)The prediction for listed companies’ fina…An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)An experimental comparison of…Using Bayesian networks for bankruptcy prediction: Some methodological issues (2006)Using Bayesian networks for b…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…A genetic algorithm application in bankruptcy prediction modeling (2002)A genetic algorithm applicati…A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction (2002)A case-based reasoning with t…Business failure prediction using rough sets (1999)Business failure prediction u…Genetic algorithms applications in the analysis of insolvency risk (1998)Genetic algorithms applicatio…A neural network for classifying the financial health of a firm (1995)A neural network for classify…Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Neural Networks: A New Tool f…Neural network models and the prediction of bank bankruptcy (1991)Neural network models and the…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Introducing Recursive Partiti…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Early warning of enterprise finance risk of big data mining in internet of things based on fuzzy association rules (2020)Early warning of enterprise f…Corporate failure prediction models in the twenty-first century: a review (2020)Corporate failure prediction …Dynamic Bankruptcy Prediction Models for European Enterprises (2019)Dynamic Bankruptcy Prediction…A data-driven prediction approach for sports team performance and its application to National Basketball Association (2019)A data-driven prediction appr…A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms (2019)A bibliometric study on intel…Sustainability evaluation via variable precision rough set approach: A photovoltaic module supplier case study (2018)Sustainability evaluation via…Failure pattern-based ensembles applied to bankruptcy forecasting (2018)Failure pattern-based ensembl…Corporate distress prediction in China: a machine learning approach (2018)Corporate distress prediction…An Effective Computational Model for Bankruptcy Prediction Using Kernel Extreme Learning Machine Approach (2016)An Effective Computational Mo…Predicting the listing status of Chinese listed companies with multi-class classification models (2015)Predicting the listing status…Can Z-Score Model Predict Listed Companies’ Failures in Italy? An Empirical Test (2015)Can Z-Score Model Predict Lis…Financial ratio selection for business failure prediction using soft set theory (2014)Financial ratio selection for…Chinese companies distress prediction: an application of data envelopment analysis (2013)Chinese companies distress pr…A new method to determine basic probability assignment from training data (2013)A new method to determine bas…Structure learning for belief rule base expert system: A comparative study (2012)Structure learning for belief…Credit risk assessment and decision making by a fusion approach (2012)Credit risk assessment and de…Limited-dependent and qualitative variables in econometrics (1983)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)An application of the cox proportional hazards model to bank failure (1986)A survey of business failures with an emphasis on prediction methods and industrial applications (1996)Predicting corporate financial distress: Reflections on choice-based sample bias (2002)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Machine Learning in Financial Crisis Prediction: A Survey (2011)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction (2018)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? (2008)In Search of Distress Risk (2008)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Consumer credit-risk models via machine-learning algorithms (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Preference disaggregation: 20 years of MCDA experience (2001)Predicting corporate bankruptcy: where we stand? (2006)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 1985Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress748 cited
  • 1992Neural Networks: A New Tool for Predicting Thrift Failures*533 cited
  • 1999Business failure prediction using rough sets493 cited
  • 2002A genetic algorithm application in bankruptcy prediction modeling386 cited
  • 1991Neural network models and the prediction of bank bankruptcy301 cited
  • 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring290 cited
  • 2002A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction277 cited
  • 1998Genetic algorithms applications in the analysis of insolvency risk269 cited

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  • 1995A neural network for classifying the financial health of a firm191 cited
  • 2006Using Bayesian networks for bankruptcy prediction: Some methodological issues170 cited
  • Cited by

    • 2012Structure learning for belief rule base expert system: A comparative study117 cited
    • 2013A new method to determine basic probability assignment from training data112 cited
    • 2020Early warning of enterprise finance risk of big data mining in internet of things based on fuzzy association rules98 cited
    • 2019A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms97 cited
    • 2014Financial ratio selection for business failure prediction using soft set theory87 cited
    • 2016An Effective Computational Model for Bankruptcy Prediction Using Kernel Extreme Learning Machine Approach82 cited
    • 2018Corporate distress prediction in China: a machine learning approach82 cited
    • 2019A data-driven prediction approach for sports team performance and its application to National Basketball Association82 cited
    • 2020Corporate failure prediction models in the twenty-first century: a review68 cited
    • 2018Failure pattern-based ensembles applied to bankruptcy forecasting65 cited
    • 2015Predicting the listing status of Chinese listed companies with multi-class classification models62 cited
    • 2012Credit risk assessment and decision making by a fusion approach54 cited
    • 2019Dynamic Bankruptcy Prediction Models for European Enterprises50 cited
    • 2013Chinese companies distress prediction: an application of data envelopment analysis49 cited
    • 2018Sustainability evaluation via variable precision rough set approach: A photovoltaic module supplier case study48 cited
    • 2015Can Z-Score Model Predict Listed Companies’ Failures in Italy? An Empirical Test43 cited