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Predicting Business Failure Using an RSF‐based Case‐Based Reasoning Ensemble Forecasting Method
16 references·5 citing·37 second hop
Predicting Business Failure Using an RSF‐based Case‐Based Reasoning Ensemble Forecasting Method (2011)Predicting Business Failure Using an RSF‐…Predicting business failure using multiple case-based reasoning combined with support vector machine (2009)Predicting business failure u…Business failure prediction using decision trees (2009)Business failure prediction u…Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies (2008)Variable selection and oversa…Bankruptcy prediction using a discrete‐time duration model incorporating temporal and macroeconomic dependencies (2008)Bankruptcy prediction using a…Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach (2008)Bankruptcy prediction modelin…Developing a business failure prediction model via RST, GRA and CBR (2007)Developing a business failure…Corporate Financial Distress and Bankruptcy (2005)Corporate Financial Distress …Rough sets bankruptcy prediction models versus auditor signalling rates (2003)Rough sets bankruptcy predict…A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction (2002)A case-based reasoning with t…Predicting bankruptcy using recursive partitioning and a realistically proportioned data set (2000)Predicting bankruptcy using r…How effective are neural networks at forecasting and prediction? A review and evaluation (1998)How effective are neural netw…Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis (1997)Bankruptcy prediction using c…A case-based reasoning approach to bankruptcy prediction modeling (1997)A case-based reasoning approa…Integration of case-based forecasting, neural network, and discriminant analysis for bankruptcy prediction (1996)Integration of case-based for…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…Explanatory Factors of Business Failure: Literature Review and Global Trends (2021)Explanatory Factors of Busine…COMPOSITE FINANCIAL PERFORMANCE INDEX PREDICTION – A NEURAL NETWORKS APPROACH (2021)COMPOSITE FINANCIAL PERFORMAN…A Financial Distress Prediction Model Based on Sparse Algorithm and Support Vector Machine (2020)A Financial Distress Predicti…Failure analysis of corporations with multiple hospitality businesses (2019)Failure analysis of corporati…Towards a new approach to predict business performance using machine learning (2018)Towards a new approach to pre…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Decision support systems and intelligent systems (1997)Fuzzy Support Vector Machine for bankruptcy prediction (2010)A genetic algorithm approach for SMEs bankruptcy prediction: Empirical evidence from Italy (2014)Genetic algorithm-optimized multi-channel convolutional neural network for stock market prediction (2019)A Discriminant Analysis of Predictors of Business Failure (1972)Context theory of classification learning. (1978)A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms (2005)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)Financial credit risk assessment: a recent review (2015)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)A neural network model for bankruptcy prediction (1990)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Ranking-order case-based reasoning for financial distress prediction (2008)Clustering Indian stock market data for portfolio management (2010)Novel feature selection methods to financial distress prediction (2013)The Pricing of Options and Corporate Liabilities (1973)Predicting Financial Distress: A Comparison of Survival Analysis and Decision Tree Techniques (2015)Bankruptcy Prediction Using Deep Learning Approach Based on Borderline SMOTE (2020)Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis (2024)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)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)Conditional logit analysis of qualitative choice behavior (1972)A practical approach to credit scoring (2007)A binary classification method for bankruptcy prediction (2008)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Is the Risk of Bankruptcy a Systematic Risk? (1998)The Long‐Run Stock Returns Following Bond Ratings Changes (2001)The effects of government ownership on bank lending (2003)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 2005Corporate Financial Distress and Bankruptcy759 cited
  • 1998How effective are neural networks at forecasting and prediction? A review and evaluation451 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
  • 2008Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach182 cited
  • 1996Integration of case-based forecasting, neural network, and discriminant analysis for bankruptcy prediction149 cited
  • 2009Business failure prediction using decision trees145 cited
  • 1997A case-based reasoning approach to bankruptcy prediction modeling141 cited
  • 2008Bankruptcy prediction using a discrete‐time duration model incorporating temporal and macroeconomic dependencies133 cited
  • 2003Rough sets bankruptcy prediction models versus auditor signalling rates107 cited
  • 2000Predicting bankruptcy using recursive partitioning and a realistically proportioned data set90 cited
  • 2008Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies

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88 cited
  • 2009Predicting business failure using multiple case-based reasoning combined with support vector machine88 cited
  • 2007Developing a business failure prediction model via RST, GRA and CBR80 cited
  • Cited by

    • 2020A Financial Distress Prediction Model Based on Sparse Algorithm and Support Vector Machine39 cited
    • 2018Towards a new approach to predict business performance using machine learning35 cited
    • 2021COMPOSITE FINANCIAL PERFORMANCE INDEX PREDICTION – A NEURAL NETWORKS APPROACH35 cited
    • 2021Explanatory Factors of Business Failure: Literature Review and Global Trends25 cited
    • 2019Failure analysis of corporations with multiple hospitality businesses23 cited