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A support vector machine approach to credit scoring
6 references·16 citing·41 second hop
A support vector machine approach to credit scoring (2003)A support vector machine approach to cred…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Financial time series prediction using least squares support vector machines within the evidence framework (2001)Financial time series predict…Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…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…The Determination of Long-Term Credit Standing with Financial Ratios (1966)The Determination of Long-Ter…Applying machine learning algorithms to predict default probability in the online credit market: Evidence from China (2021)Applying machine learning alg…Credit Scoring: A Review on Support Vector Machines and Metaheuristic Approaches (2019)Credit Scoring: A Review on S…Stationary Mahalanobis kernel SVM for credit risk evaluation (2018)Stationary Mahalanobis kernel…Big Data techniques to measure credit banking risk in home equity loans (2018)Big Data techniques to measur…Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors (2014)Credit risk evaluation using …Credit rating with a monotonicity-constrained support vector machine model (2014)Credit rating with a monotoni…Orthogonal support vector machine for credit scoring (2012)Orthogonal support vector mac…Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection (2011)Credit risk evaluation using …Credit Scoring Models using Soft Computing Methods: A Survey (2010)Credit Scoring Models using S…Credit scorecard based on logistic regression with random coefficients (2010)Credit scorecard based on log…Credit risk evaluation with kernel-based affine subspace nearest points learning method (2010)Credit risk evaluation with k…Handbook on Information Technology in Finance (2008)Handbook on Information Techn…Credit scoring using support vector machines with direct search for parameters selection (2008)Credit scoring using support …Bio-Inspired Credit Risk Analysis (2008)Bio-Inspired Credit Risk Anal…Credit Risk Evaluation with Least Square Support Vector Machine (2006)Credit Risk Evaluation with L…Credit Risk Analysis Using a Reliability-Based Neural Network Ensemble Model (2006)Credit Risk Analysis Using a …Neural network credit scoring models (2000)Credit Scoring and Its Applications (2002)Credit scoring with a data mining approach based on support vector machines (2006)A multicriteria outranking approach for modeling corporate credit ratings: An application of the Electre Tri-nC method (2018)The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress prediction models evaluation (2020)A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods (2021)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Forecasting stock market movement direction with support vector machine (2004)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)A novel corporate credit rating system based on Student’s-t hidden Markov models (2016)Machine learning models and cost-sensitive decision trees for bond rating prediction (2019)Elements of Credit Rating: A Hybrid Review and Future Research Agenda (2021)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain (2022)Hyperparameter Tuning of Machine Learning Algorithms Using Response Surface Methodology: A Case Study of ANN, SVM, and DBN (2022)Prediction of bank credit worthiness through credit risk analysis: an explainable machine learning study (2024)Financial Ratios As Predictors of Failure (1966)Conditional logit analysis of qualitative choice behavior (1972)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)The Effect of Audit Quality on Earnings Management* (1998)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Why Does Stock Market Volatility Change Over Time? (1989)A long memory property of stock market returns and a new model (1993)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)A multiple-kernel support vector regression approach for stock market price forecasting (2010)Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Time series forecasting for nonlinear and non-stationary processes: a review and comparative study (2015)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Connecting big data management capabilities with employee ambidexterity in Chinese multinational enterprises through the mediation of big data value creation at the employee level (2019)Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction (2021)Fintech, macroprudential policies and bank risk: Evidence from China (2023)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)Determinants and Impact of Sovereign Credit Ratings (1996)Determinants and Impact of Sovereign Credit Ratings (2007)Does Corporate Social Responsibility (CSR) Improve Credit Ratings? Evidence from Geographic Identification (2013)
this work references cited by second hop

References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 2001Financial time series prediction using least squares support vector machines within the evidence framework499 cited
  • 1966The Determination of Long-Term Credit Standing with Financial Ratios407 cited

Cited by

  • 2018Big Data techniques to measure credit banking risk in home equity loans102 cited
  • 2011Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection98 cited
  • 2014Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors92 cited
  • 2014Credit rating with a monotonicity-constrained support vector machine model89 cited
  • 2010Credit Scoring Models using Soft Computing Methods: A Survey77 cited
  • 2006Credit Risk Analysis Using a Reliability-Based Neural Network Ensemble Model76 cited
  • 2008Credit scoring using support vector machines with direct search for parameters selection73 cited
  • 2019

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Credit Scoring: A Review on Support Vector Machines and Metaheuristic Approaches
66 cited
  • 2021Applying machine learning algorithms to predict default probability in the online credit market: Evidence from China63 cited
  • 2010Credit scorecard based on logistic regression with random coefficients63 cited
  • 2006Credit Risk Evaluation with Least Square Support Vector Machine62 cited
  • 2008Bio-Inspired Credit Risk Analysis54 cited
  • 2008Handbook on Information Technology in Finance53 cited
  • 2018Stationary Mahalanobis kernel SVM for credit risk evaluation49 cited
  • 2012Orthogonal support vector machine for credit scoring45 cited
  • 2010Credit risk evaluation with kernel-based affine subspace nearest points learning method29 cited