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Credit Scoring in Microfinance Using Non-traditional Data
6 references·0 citing·29 second hop
Credit Scoring in Microfinance Using Non-traditional Data (2017)Credit Scoring in Microfinance Using Non-…MobiScore: Towards Universal Credit Scoring from Mobile Phone Data (2015)MobiScore: Towards Universal …A new dynamic modeling framework for credit risk assessment (2015)A new dynamic modeling framew…Credit scoring models for the microfinance industry using neural networks: Evidence from Peru (2012)Credit scoring models for the…Credit scoring for microfinance: is it worth it? (2011)Credit scoring for microfinan…Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring (2005)Credit Risk Scorecards: Devel…Credit Scoring and Its Applications (2002)Credit Scoring and Its Applic…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Inferring friendship network structure by using mobile phone data (2009)Self-control, financial literacy and consumer over-indebtedness (2011)Behavior Revealed in Mobile Phone Usage Predicts Loan Repayment (2015)Behavior Revealed in Mobile Phone Usage Predicts Credit Repayment (2019)A conservative approach for online credit scoring (2021)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)The Microfinance Revolution (2001)Basel Committee On Banking Supervision (2010)A social and environmental approach to microfinance credit scoring (2015)Social uncertainty evaluation in Social Impact Bonds: Review and framework (2018)A multicriteria credit scoring model for SMEs using hybrid BWM and TOPSIS (2021)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Forecasting with artificial neural networks: (1998)Financial time series forecasting using support vector machines (2003)Credit risk assessment model for Jordanian commercial banks: Neural scoring approach (2014)Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach (2015)Machine Learning at Central Banks (2017)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Neural network credit scoring models (2000)Multi Criteria Decision Making in Financial Risk Management with a Multi-objective Genetic Algorithm (2017)Credit scoring methods: Latest trends and points to consider (2022)Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)Recent developments in consumer credit risk assessment (2007)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Using data mining to improve assessment of credit worthiness via credit scoring models (2011)Credit scoring using the clustered support vector machine (2014)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)
this work references cited by second hop

References

  • 2002Credit Scoring and Its Applications669 cited
  • 2005Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring381 cited
  • 2012Credit scoring models for the microfinance industry using neural networks: Evidence from Peru210 cited
  • 2011Credit scoring for microfinance: is it worth it?102 cited
  • 2015A new dynamic modeling framework for credit risk assessment82 cited
  • 2015MobiScore: Towards Universal Credit Scoring from Mobile Phone Data66 cited

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