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Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis
7 references·16 citing·40 second hop
Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis (1997)Bankruptcy prediction using case-based re…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…A neural network model for bankruptcy prediction (1990)A neural network model for ba…The probability of bankruptcy (1981)The probability of bankruptcyRatio Stability and Corporate Failure (1980)Ratio Stability and Corporate…Context theory of classification learning. (1978)Context theory of classificat…A Discriminant Analysis of Predictors of Business Failure (1972)A Discriminant Analysis of Pr…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Predicting Corporate Bankruptcy: An Evaluation of Alternative Statistical Frameworks (2016)Predicting Corporate Bankrupt…Financial credit risk assessment: a recent review (2015)Financial credit risk assessm…Small Enterprise Default Prediction Modeling through Artificial Neural Networks: An Empirical Analysis of Italian Small Enterprises (2012)Small Enterprise Default Pred…Financial distress prediction using support vector machines: Ensemble vs. individual (2012)Financial distress prediction…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)An empirical comparison of co…Vertical bagging decision trees model for credit scoring (2010)Vertical bagging decision tre…Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy (2010)Predicting bankruptcy using n…Fuzzy Support Vector Machine for bankruptcy prediction (2010)Fuzzy Support Vector Machine …Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS) (2010)Bankruptcy forecasting: A hyb…Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey (2009)Hybrid and ensemble-based sof…Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks (2009)Comparing four bankruptcy pre…Differential evolution trained wavelet neural networks: Application to bankruptcy prediction in banks (2008)Differential evolution traine…Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach (2008)Bankruptcy prediction modelin…A genetic programming model for bankruptcy prediction: Empirical evidence from Iran (2008)A genetic programming model f…Soft computing system for bank performance prediction (2007)Soft computing system for ban…A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms (2005)A comparison of supervised an…The Cost of Capital, Corporation Finance and the Theory of Investment (1958)The Pricing of Options and Corporate Liabilities (1973)Using Operating Cash Flow Data to Predict Financial Distress: Some Extensions (1985)The Analysis and Use of Financial Ratios: A Review Article (1987)PREDICTING BANKRUPTCY FOR FIRMS IN FINANCIAL DISTRESS (1990)Financial Ratios As Predictors of Failure (1966)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)BANKRUPTCY PREDICTION ‐ AN INVESTIGATION OF CASH FLOW BASED MODELS [1] (1988)An empirical comparison of bankruptcy models (1998)The Determinants of Financial Health of Asian Insurance Companies (2004)Fuzzy sets (1965)Fuzzy sets (1996)Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring (2019)Deep learning for credit scoring: Do or don’t? (2021)Operational Research and Artificial Intelligence Methods in Banking (2022)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index (2018)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Availability: A heuristic for judging frequency and probability (1973)Family resemblances: Studies in the internal structure of categories (1975)Features of similarity. (1977)The role of theories in conceptual coherence. (1985)Norm theory: Comparing reality to its alternatives. (1986)A Continuum of Impression Formation, from Category-Based to Individuating Processes: Influences of Information and Motivation on Attention and Interpretation (1990)Positive Accounting Theory (1985)Designing a neural network for forecasting financial and economic time series (1996)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Forecasting bank failures and stress testing: A machine learning approach (2018)Integration of unsupervised and supervised machine learning algorithms for credit risk assessment (2019)Multi-class misclassification cost matrix for credit ratings in peer-to-peer lending (2020)The robust beauty of improper linear models in decision making. (1979)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Forecasting with artificial neural networks: (1998)Neural network credit scoring models (2000)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
this work references cited by second hop

References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1978Context theory of classification learning.3,060 cited
  • 1972A Discriminant Analysis of Predictors of Business Failure1,168 cited
  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 1990A neural network model for bankruptcy prediction853 cited
  • 1981The probability of bankruptcy334 cited
  • 1980Ratio Stability and Corporate Failure293 cited

Cited by

  • 2012An 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 data241 cited
  • 2015Financial credit risk assessment: a recent review234 cited
  • 2005A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms219 cited
  • 2016Predicting Corporate Bankruptcy: An Evaluation of Alternative Statistical Frameworks189 cited
  • 2008Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach182 cited
  • 2008Differential evolution trained wavelet neural networks: Application to bankruptcy prediction in banks179 cited
  • 2010Fuzzy Support Vector Machine for bankruptcy prediction

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174 cited
  • 2007Soft computing system for bank performance prediction173 cited
  • 2010Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS)169 cited
  • 2009Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey168 cited
  • 2009Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks164 cited
  • 2010Vertical bagging decision trees model for credit scoring163 cited
  • 2008A genetic programming model for bankruptcy prediction: Empirical evidence from Iran163 cited
  • 2012Financial distress prediction using support vector machines: Ensemble vs. individual153 cited
  • 2010Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy151 cited
  • 2012Small Enterprise Default Prediction Modeling through Artificial Neural Networks: An Empirical Analysis of Italian Small Enterprises145 cited