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Estimation Procedures of Using Five Alternative Machine Learning Methods for Predicting Credit Card Default
16 references·0 citing·32 second hop
Estimation Procedures of Using Five Alternative Machine Learning Methods for Predicting Credit Card Default (2019)Estimation Procedures of Using Five Alter…Credit Risk Analysis Using Machine and Deep Learning Models (2018)Credit Risk Analysis Using Ma…Deep Learning for Finance: Deep Portfolios (2016)Deep Learning for Finance: De…Risk and Risk Management in the Credit Card Industry (2015)Risk and Risk Management in t…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A comparative survey of artif…Support vector machines for default prediction of SMEs based on technology credit (2009)Support vector machines for d…Financial crises and bank failures: A review of prediction methods (2009)Financial crises and bank fai…The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)The comparisons of data minin…Recent developments in consumer credit risk assessment (2007)Recent developments in consum…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Differentiating between good credits and bad credits using neuro-fuzzy systems (2002)Differentiating between good …Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)A survey of credit and behavi…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Statistical Classification Me…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…The Pricing of Options and Corporate Liabilities (1973)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Credit scoring with a data mining approach based on support vector machines (2006)A comparative assessment of ensemble learning for credit scoring (2010)Neural network credit scoring models (2000)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)A Stochastic Approximation Method (1951)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Fuzzy sets (1965)Measuring the efficiency of decision making units (1978)Fuzzy sets (1996)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Using artificial neural network models in stock market index prediction (2011)Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model (2016)A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks (1994)NSE Stock Market Prediction Using Deep-Learning Models (2018)Stock Market Prediction Using LSTM Recurrent Neural Network (2020)Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Banking Risk Management: A Literature Review (2019)A Review on Fairness in Machine Learning (2022)Deep learning for financial applications : A survey (2020)Stock market movement forecast: A Systematic review (2020)Artificial intelligence and machine learning in finance: A bibliometric review (2022)'It's Reducing a Human Being to a Percentage' (2018)Machine Learning and Natural Language Processing in Mental Health: Systematic Review (2020)Consumer credit-risk models via machine-learning algorithms (2010)
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References

  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 cited
  • 2016Deep Learning for Finance: Deep Portfolios765 cited
  • 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 2010A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems552 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 2007Recent developments in consumer credit risk assessment472 cited
  • 2018Credit Risk Analysis Using Machine and Deep Learning Models318 cited
  • 2015Risk and Risk Management in the Credit Card Industry260 cited
  • 2002Differentiating between good credits and bad credits using neuro-fuzzy systems

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252 cited
  • 2009Financial crises and bank failures: A review of prediction methods237 cited
  • 2009Support vector machines for default prediction of SMEs based on technology credit221 cited
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