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Rural Micro Credit Assessment using Machine Learning in a Peruvian microfinance institution
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Rural Micro Credit Assessment using Machine Learning in a Peruvian microfinance institution (2021)Rural Micro Credit Assessment using Machi…The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution (2018)The Global Findex Database 20…Credit Risk Analysis Using Machine and Deep Learning Models (2018)Credit Risk Analysis Using Ma…Machine Learning at Central Banks (2017)Machine Learning at Central B…A machine learning approach for predicting bank credit worthiness (2016)A machine learning approach f…Modelling credit risk with scarce default data: on the suitability of cooperative bootstrapped strategies for small low-default portfolios (2013)Modelling credit risk with sc…Consumer credit risk: Individual probability estimates using machine learning (2013)Consumer credit risk: Individ…A Survey of Systemic Risk Analytics (2012)A Survey of Systemic Risk Ana…Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes (2010)Neural networks for credit ri…An Assertive Machine Learning Model for Rural Micro Credit Assessment in Peru (2022)An Assertive Machine Learning…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)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)Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment (2012)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Investigation and improvement of multi-layer perceptron neural networks for credit scoring (2014)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)The pricing of sovereign risk and contagion during the European sovereign debt crisis (2012)P2P credit risk management with KG-GNN: a knowledge graph and graph neural network-based approach (2024)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Loan default prediction by combining soft information extracted from descriptive text in online peer-to-peer lending (2017)Predicting mortgage default using convolutional neural networks (2018)Artificial intelligence in customer-facing financial services: a systematic literature review and agenda for future research (2021)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Credit rating by hybrid machine learning techniques (2009)A data-driven approach to predict the success of bank telemarketing (2014)Prediction analysis of risky credit using Data mining classification models (2017)Review of Machine Learning models for Credit Scoring Analysis (2020)Credit Risk Model Based on Central Bank Credit Registry Data (2021)Chapter 4 Forecast Combinations (2006)Big data: a revolution that will transform how we live, work, and think (2013)Big Data: New Tricks for Econometrics (2014)An interdisciplinary model for macroeconomics (2017)Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods (2019)Nowcasting GDP using machine-learning algorithms: A real-time assessment (2020)The Estimation of the Lorenz Curve and Gini Index (1972)Consumer credit-risk models via machine-learning algorithms (2010)Machine Learning in Banking Risk Management: A Literature Review (2019)Deep learning for credit scoring: Do or don’t? (2021)Corporate finance risk prediction based on LightGBM (2022)The Pricing of Options and Corporate Liabilities (1973)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)A Macroprudential Approach to Financial Regulation (2011)Systemic Risk and Stability in Financial Networks (2015)Where the Risks Lie: A Survey on Systemic Risk (2015)Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning (2018)Does financial literacy improve financial inclusion? Cross country evidence (2018)Does financial inclusion reduce poverty and income inequality in developing countries? A panel data analysis (2020)World Development Report 2022: Finance for an Equitable Recovery (2022)
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References

  • 2018The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution3,126 cited
  • 2012A Survey of Systemic Risk Analytics717 cited
  • 2018Credit Risk Analysis Using Machine and Deep Learning Models318 cited
  • 2010Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes236 cited
  • 2013Consumer credit risk: Individual probability estimates using machine learning196 cited
  • 2017Machine Learning at Central Banks138 cited
  • 2016A machine learning approach for predicting bank credit worthiness60 cited
  • 2013Modelling credit risk with scarce default data: on the suitability of cooperative bootstrapped strategies for small low-default portfolios21 cited

Cited by

  • 2022An Assertive Machine Learning Model for Rural Micro Credit Assessment in Peru11 cited

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