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Forecasting business failure in China using case‐based reasoning with hybrid case respresentation
16 references·3 citing·40 second hop
Forecasting business failure in China using case‐based reasoning with hybrid case respresentation (2009)Forecasting business failure in China usi…Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Using neural network ensemble…Forecasting financial condition of Chinese listed companies based on support vector machine (2007)Forecasting financial conditi…DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique (2007)DEA as a tool for bankruptcy …Using Bayesian networks for bankruptcy prediction: Some methodological issues (2006)Using Bayesian networks for b…Predicting corporate financial distress based on integration of support vector machine and logistic regression (2006)Predicting corporate financia…Data mining method for listed companies’ financial distress prediction (2006)Data mining method for listed…Hybrid genetic algorithms and support vector machines for bankruptcy prediction (2005)Hybrid genetic algorithms and…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction (2002)A case-based reasoning with t…Probabilistic Neural Networks in Bankruptcy Prediction (1999)Probabilistic Neural Networks…Business failure prediction using rough sets (1999)Business failure prediction u…How effective are neural networks at forecasting and prediction? A review and evaluation (1998)How effective are neural netw…Credit risk measurement: Developments over the last 20 years (1997)Credit risk measurement: Deve…Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis (1997)Bankruptcy prediction using c…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…Explanatory Factors of Business Failure: Literature Review and Global Trends (2021)Explanatory Factors of Busine…Predicting business failure using support vector machines with straightforward wrapper: A re-sampling study (2011)Predicting business failure u…Predicting business failure using forward ranking-order case-based reasoning (2010)Predicting business failure u…ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)An empirical comparison of bankruptcy models (1998)Forecasting stock indices: a comparison of classification and level estimation models (2000)An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)Axiomatic Foundation of the Analytic Hierarchy Process (1986)How to make a decision: The analytic hierarchy process (1990)Multicriteria evaluation of power plants impact on the living standard using the analytic hierarchy process (2008)A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method (2011)Financial credit risk assessment: a recent review (2015)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)A neural network model for bankruptcy prediction (1990)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)A case study on using neural networks to perform technical forecasting of forex (2000)The application of neural networks to forecast fuzzy time series (2005)Neural network ensemble operators for time series forecasting (2014)Neural network credit scoring models (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Financial Ratios As Predictors of Failure (1966)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)The Pricing of Options and Corporate Liabilities (1973)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Bank Capital Regulation in Contemporary Banking Theory: A Review of the Literature (2001)Macroeconomic Dynamics and Credit Risk: A Global Perspective (2006)Safer ratios, riskier portfolios: Banks׳ response to government aid (2014)Predicting 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 (2008)Machine Learning in Financial Crisis Prediction: A Survey (2011)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)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)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 1997Credit risk measurement: Developments over the last 20 years806 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 1999Business failure prediction using rough sets493 cited
  • 1998How effective are neural networks at forecasting and prediction? A review and evaluation451 cited
  • 2005Hybrid genetic algorithms and support vector machines for bankruptcy prediction377 cited
  • 1999Probabilistic Neural Networks in Bankruptcy Prediction277 cited
  • 2002A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction277 cited
  • 1997Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis273 cited
  • 2007Forecasting financial condition of Chinese listed companies based on support vector machine246 cited
  • 2006Predicting corporate financial distress based on integration of support vector machine and logistic regression229 cited
  • 2007DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique

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172 cited
  • 2006Using Bayesian networks for bankruptcy prediction: Some methodological issues170 cited
  • 2006Data mining method for listed companies’ financial distress prediction166 cited
  • Cited by

    • 2021Explanatory Factors of Business Failure: Literature Review and Global Trends25 cited
    • 2011Predicting business failure using support vector machines with straightforward wrapper: A re-sampling study25 cited
    • 2010Predicting business failure using forward ranking-order case-based reasoning20 cited