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A Machine Learning Approach for Micro-Credit Scoring
15 references·3 citing·51 second hop
A Machine Learning Approach for Micro-Credit Scoring (2021)A Machine Learning Approach for Micro-Cre…Evaluation of Tree-Based Ensemble Machine Learning Models in Predicting Stock Price Direction of Movement (2020)Evaluation of Tree-Based Ense…A machine learning approach to the digitalization of bank customers: Evidence from random and causal forests (2020)A machine learning approach t…The Global Findex Database 2017: Measuring Financial Inclusion and Opportunities to Expand Access to and Use of Financial Services* (2019)The Global Findex Database 20…Credit Risk Analysis Using Machine and Deep Learning Models (2018)Credit Risk Analysis Using Ma…Machine learning models and bankruptcy prediction (2017)Machine learning models and b…Credit Scoring and Its Applications, Second Edition (2017)Credit Scoring and Its Applic…Credit Scoring and Its Applications (2017)Credit Scoring and Its Applic…A deep learning ensemble approach for crude oil price forecasting (2017)A deep learning ensemble appr…Machine Learning Methods for Demand Estimation (2015)Machine Learning Methods for …Investigation and improvement of multi-layer perceptron neural networks for credit scoring (2014)Investigation and improvement…Using data mining to improve assessment of credit worthiness via credit scoring models (2011)Using data mining to improve …Consumer credit-risk models via machine-learning algorithms (2010)Consumer credit-risk models v…Microfinance: A Comprehensive Review of the Existing Literature (2004)Microfinance: A Comprehensive…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Machine learning powered financial credit scoring: a systematic literature review (2025)Machine learning powered fina…Comparison of the impact of dimensionality reduction and data splitting on classification performance in credit risk assessment (2024)Comparison of the impact of d…Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art (2024)Advancing credit risk modelli…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Financial time series forecasting using support vector machines (2003)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Agency for International Development (1978)The Benefits of Lending Relationships: Evidence from Small Business Data (1994)Relationship Lending and Lines of Credit in Small Firm Finance (1995)Is microcredit a blessing for the poor? A meta-analysis examining development outcomes and contextual considerations (2014)The Impacts of Microcredit: Evidence from Ethiopia (2015)Financial performance and corporate governance in microfinance: Evidence from Asia (2018)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Machine Learning in Banking Risk Management: A Literature Review (2019)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)Testing for a Unit Root in Time Series Regression (1988)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Stock price prediction based on deep neural networks (2019)A comprehensive evaluation of ensemble learning for stock-market prediction (2020)Price forecasting through neural networks for crude oil, heating oil, and natural gas (2024)The Estimation of the Lorenz Curve and Gini Index (1972)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Bayesian regularized artificial neural networks for the estimation of the probability of default (2019)Deep learning for credit scoring: Do or don’t? (2021)Corporate finance risk prediction based on LightGBM (2022)Financial Inclusion and Inclusive Growth: A Review of Recent Empirical Evidence (2017)The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution (2018)Financial inclusiveness and economic growth: new evidence using a threshold regression analysis (2020)A review of literature directions regarding the impact of fintech firms on the banking industry (2021)The Global Findex Database 2021 (2022)Thematic Analysis of Financial Technology (Fintech) Influence on the Banking Industry (2022)The Behavior of Stock-Market Prices (1965)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Twitter mood predicts the stock market (2011)A Random Forests Approach to Predicting Clean Energy Stock Prices (2021)Trends and Directions of Financial Technology (Fintech) in Society and Environment: A Bibliometric Study (2021)Survey of feature selection and extraction techniques for stock market prediction (2023)The Measurement of Observer Agreement for Categorical Data (1977)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Counterfactual Fairness (2017)On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services (2018)Empirical Asset Pricing via Machine Learning (2020)An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (2007)Credit scoring with macroeconomic variables using survival analysis (2008)Forecasting and operational research: a review (2008)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)
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References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 1998Forecasting with artificial neural networks:4,225 cited
  • 2017Machine learning models and bankruptcy prediction952 cited
  • 2010Consumer credit-risk models via machine-learning algorithms861 cited
  • 2004Microfinance: A Comprehensive Review of the Existing Literature540 cited
  • 2019The Global Findex Database 2017: Measuring Financial Inclusion and Opportunities to Expand Access to and Use of Financial Services*454 cited
  • 2017A deep learning ensemble approach for crude oil price forecasting383 cited
  • 2018Credit Risk Analysis Using Machine and Deep Learning Models318 cited
  • 2017Credit Scoring and Its Applications306 cited
  • 2020Evaluation of Tree-Based Ensemble Machine Learning Models in Predicting Stock Price Direction of Movement245 cited
  • 2014Investigation and improvement of multi-layer perceptron neural networks for credit scoring230 cited
  • 2015Machine Learning Methods for Demand Estimation220 cited
  • 2011Using data mining to improve assessment of credit worthiness via credit scoring models210 cited
  • 2017Credit Scoring and Its Applications, Second Edition163 cited
  • 2020

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A machine learning approach to the digitalization of bank customers: Evidence from random and causal forests
87 cited

Cited by

  • 2024Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art42 cited
  • 2025Machine learning powered financial credit scoring: a systematic literature review38 cited
  • 2024Comparison of the impact of dimensionality reduction and data splitting on classification performance in credit risk assessment21 cited