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Machine Learning Methods of Bankruptcy Prediction Using Accounting Ratios
16 references·4 citing·35 second hop
Machine Learning Methods of Bankruptcy Prediction Using Accounting Ratios (2017)Machine Learning Methods of Bankruptcy Pr…AdaBoost based bankruptcy forecasting of Korean construction companies (2014)AdaBoost based bankruptcy for…A comparative study of classifier ensembles for bankruptcy prediction (2014)A comparative study of classi…Financial distress prediction using support vector machines: Ensemble vs. individual (2012)Financial distress prediction…Predicting corporate financial distress based on integration of decision tree classification and logistic regression (2011)Predicting corporate financia…Fuzzy Support Vector Machine for bankruptcy prediction (2010)Fuzzy Support Vector Machine …A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance: For bankruptcy prediction (2009)A hybrid approach based on th…Have Financial Statements Become Less Informative? Evidence from the Ability of Financial Ratios to Predict Bankruptcy (2005)Have Financial Statements Bec…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…BANKRUPTCY DISCRIMINATION WITH REAL VARIABLES (1994)BANKRUPTCY DISCRIMINATION WIT…The USE OF MULTIPLE DISCRIMINANT ANALYSIS IN THE ASSESSMENT OF THE GOING‐CONCERN STATUS OF AN AUDIT CLIENT (1990)The USE OF MULTIPLE DISCRIMIN…BANKRUPTCY PREDICTION ‐ AN INVESTIGATION OF CASH FLOW BASED MODELS [1] (1988)BANKRUPTCY PREDICTION ‐ AN IN…A factor-analytic approach to bank condition (1985)A factor-analytic approach to…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…Predicting business bankruptcy: A comparative analysis with machine learning models (2024)Predicting business bankruptc…Enhancing corporate bankruptcy prediction via a hybrid genetic algorithm and domain adaptation learning architecture (2024)Enhancing corporate bankruptc…Predicting the Performance of Rural Banks in Ghana Using Machine Learning Approach (2020)Predicting the Performance of…Financial Distress Prediction: Principle Component Analysis and Artificial Neural Networks (2019)Financial Distress Prediction…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Corporate governance and the bankrupt firm: An empirical assessment (1994)Organizational failure: a critique of recent research and a proposed integrative framework (2004)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)Modern factor analysis (1960)Modern Factor Analysis (1968)Collateral, loan quality and bank risk (1990)Econometric Models and Economic Forecasts (1990)Credit risk measurement: Developments over the last 20 years (1997)Banking risk and regulation: Does one size fit all? (2011)Neural network credit scoring models (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring (2019)A comprehensive evaluation of ensemble learning for stock-market prediction (2020)Positive Accounting Theory (1985)Forecasting with artificial neural networks: (1998)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)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)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Financial distress prediction: The case of French small and medium-sized firms (2017)Financial crisis prediction model using ant colony optimization (2018)In Search of Distress Risk (2008)Consumer credit-risk models via machine-learning algorithms (2010)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Multiperiod corporate default prediction—A forward intensity approach (2012)Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables (2013)Financial statement comparability and expected crash risk (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
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 2005Have Financial Statements Become Less Informative? Evidence from the Ability of Financial Ratios to Predict Bankruptcy491 cited
  • 2011Predicting corporate financial distress based on integration of decision tree classification and logistic regression248 cited
  • 1988BANKRUPTCY PREDICTION ‐ AN INVESTIGATION OF CASH FLOW BASED MODELS [1]240 cited
  • 2014A comparative study of classifier ensembles for bankruptcy prediction201 cited
  • 1985A factor-analytic approach to bank condition196 cited
  • 2010Fuzzy Support Vector Machine for bankruptcy prediction174 cited
  • 1990The USE OF MULTIPLE DISCRIMINANT ANALYSIS IN THE ASSESSMENT OF THE GOING‐CONCERN STATUS OF AN AUDIT CLIENT160 cited
  • 2012Financial distress prediction using support vector machines: Ensemble vs. individual153 cited
  • 2014AdaBoost based bankruptcy forecasting of Korean construction companies125 cited

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  • 2009A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance: For bankruptcy prediction116 cited
  • 1994BANKRUPTCY DISCRIMINATION WITH REAL VARIABLES94 cited
  • Cited by

    • 2024Enhancing corporate bankruptcy prediction via a hybrid genetic algorithm and domain adaptation learning architecture16 cited
    • 2024Predicting business bankruptcy: A comparative analysis with machine learning models15 cited
    • 2019Financial Distress Prediction: Principle Component Analysis and Artificial Neural Networks15 cited
    • 2020Predicting the Performance of Rural Banks in Ghana Using Machine Learning Approach11 cited