A neural network approach for credit risk evaluationEliana Angelini, Giacomo di Tollo, Andrea Roli2007-08-07articleThe Quarterly Review of Economics and Finance350 citationsclosedNo readable copy stored yet — this record is metadata only.Financial Distress and Bankruptcy PredictionBanking stability, regulation, efficiencyNeural Networks and ApplicationsAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 350 citations exist upstream.References1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY1980The Economics of Education2003Proceedings of the International Joint Conference on Neural Networks, 2003.2010Basel Committee On Banking Supervision1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1996Designing a neural network for forecasting financial and economic time series1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)2001Bankruptcy prediction for credit risk using neural networks: A survey and new resultsCited by2010A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems2016Stock market index prediction using artificial neural network2011Machine Learning in Financial Crisis Prediction: A Survey2018Credit Risk Analysis Using Machine and Deep Learning Models2012An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data2010Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes2014Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks2022Machine learning-driven credit risk: a systemic review