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Credit risk evaluation modeling using evolutionary linear SVM classifiers and sliding window approach
7 references·2 citing·30 second hop
Credit risk evaluation modeling using evolutionary linear SVM classifiers and sliding window approach (2012)Credit risk evaluation modeling using evo…Credit Risk Evaluation Model Development Using Support Vector Based Classifiers (2011)Credit Risk Evaluation Model …Hamilton, New Zealand (2008)Hamilton, New ZealandA real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy (2006)A real-valued genetic algorit…A Hybrid SOM-Altman Model for Bankruptcy Prediction (2006)A Hybrid SOM-Altman Model for…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…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…Predicting earnings management through machine learning ensemble classifiers (2022)Predicting earnings managemen…Analysis of clustering algorithms for credit risk evaluation using multiple correspondence analysis (2022)Analysis of clustering algori…Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Comparing Traditional Statistics, Decision Tree Classification And Support Vector Machine Techniques For Financial Bankruptcy Prediction (2012)Predicting financial distress of companies: revisiting the Z-Score and ZETA® models (2013)Financial Ratios As Predictors of Failure (1966)Feature selection in bankruptcy prediction (2008)Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey (2008)Machine Learning in Financial Crisis Prediction: A Survey (2011)Limited-dependent and qualitative variables in econometrics (1983)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? (2008)In Search of Distress Risk (2008)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Financial time series forecasting using support vector machines (2003)Modelling of Chinese corporate bond default – A machine learning approach (2021)Applications of Artificial Intelligence for Optimizing Banking and Financial Operations: A Systematic Literature Review and Future Research Agenda (2025)Segmenting casino gamblers by motivation: A cluster analysis of Korean gamblers (2005)Online Teaching Effectiveness: A Tale of Two Instructors (2009)The Rejuvenation of Productivist Agriculture (2012)Sustaining Vocabulary Acquisition through Computer Game: A Case Study (2013)Neural network credit scoring models (2000)Two credit scoring models based on dual strategy ensemble trees (2011)An extended intuitionistic fuzzy TOPSIS method based on a new distance measure with an application to credit risk evaluation (2017)Earnings Management During Import Relief Investigations (1991)Detecting Earnings Management. (1995)Performance matched discretionary accrual measures (2005)Artificial Intelligence Adoption and Corporate ESG Performance (2025)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
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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
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 2006A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy381 cited
  • 2008Hamilton, New Zealand173 cited
  • 2011Credit Risk Evaluation Model Development Using Support Vector Based Classifiers51 cited
  • 2006A Hybrid SOM-Altman Model for Bankruptcy Prediction31 cited

Cited by

  • 2022Predicting earnings management through machine learning ensemble classifiers23 cited
  • 2022Analysis of clustering algorithms for credit risk evaluation using multiple correspondence analysis12 cited

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