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Feature selection in credit risk modeling: an international evidence
16 references·0 citing·24 second hop
Feature selection in credit risk modeling: an international evidence (2021)Feature selection in credit risk modeling…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…In Search of Distress Risk (2008)In Search of Distress RiskCredit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…Have Financial Statements Become Less Informative? Evidence from the Ability of Financial Ratios to Predict Bankruptcy (2005)Have Financial Statements Bec…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…Bankruptcy Prediction with Industry Effects (2004)Bankruptcy Prediction with In…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Credit Scoring and Its Applications (2002)Credit Scoring and Its Applic…Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Forecasting Bankruptcy More A…Neural network credit scoring models (2000)Neural network credit scoring…Better Decisions through Science (2000)Better Decisions through Scie…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…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…Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)A Discriminant Analysis of Predictors of Business Failure (1972)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Consumer credit-risk models via machine-learning algorithms (2010)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Editor's Choice Digesting Anomalies: An Investment ApproachAdvances in prospect theory: Cumulative representation of uncertainty (1992)Common risk factors in the returns on stocks and bonds (1993)On Persistence in Mutual Fund Performance (1997)Forecasting Default with the Merton Distance to Default Model (2008)… and the Cross-Section of Expected Returns (2015)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Liquidation Values and Debt Capacity: A Market Equilibrium Approach (1992)Environmental Externalities and Cost of Capital (2014)Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model (2016)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)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)'It's Reducing a Human Being to a Percentage' (2018)Machine Learning and Natural Language Processing in Mental Health: Systematic Review (2020)Modeling Term Structures of Defaultable Bonds (1999)
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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
  • 2001Forecasting Bankruptcy More Accurately: A Simple Hazard Model2,655 cited
  • 2008In Search of Distress Risk2,232 cited
  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 2004Bankruptcy Prediction with Industry Effects810 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 2002Credit Scoring and Its Applications669 cited
  • 2000Better Decisions through Science567 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment

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522 cited
  • 2005Have Financial Statements Become Less Informative? Evidence from the Ability of Financial Ratios to Predict Bankruptcy491 cited
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