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Predicting Bank Financial Failures using Random Forest
12 references·1 citing·46 second hop
Predicting Bank Financial Failures using Random Forest (2018)Predicting Bank Financial Failures using …A Random Forest Approach for Predicting Online Buying Behavior of Indian Customers (2018)A Random Forest Approach for …Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios (2017)Predicting bank failure: An i…Machine learning models and bankruptcy prediction (2017)Machine learning models and b…Random forests-based early warning system for bank failures (2016)Random forests-based early wa…Business Analytics using Random Forest Trees for Credit Risk Prediction: A Comparison Study (2014)Business Analytics using Rand…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)Predicting bank financial fai…Bank failures and bank fundamentals: A comparative analysis of Latin America and East Asia during the nineties using bank-level data (2007)Bank failures and bank fundam…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…The Political Economy of Bank Distress: Evidence from East Asia (2001)The Political Economy of Bank…The Political Economy of Distress in East Asian Financial Institutions (2000)The Political Economy of Dist…The 1994 Currency Crisis in Turkey (1999)The 1994 Currency Crisis in T…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…RETRACTED ARTICLE: Explainable AI Model for Recognizing Financial Crisis Roots Based on Pigeon Optimization and Gradient Boosting Model (2023)RETRACTED ARTICLE: Explainabl…Early warning of bank failure (1977)Law and Finance (1998)The Twin Crises: The Causes of Banking and Balance-of-Payments Problems (1999)Explaining bank distress in Eastern European transition economies (2008)Determinants of Bank Distress in Europe: Evidence from a New Data Set (2011)Capital and liquidity ratios and financial distress. 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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 2017Machine learning models and bankruptcy prediction952 cited
  • 2008Predicting 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 Turkey286 cited
  • 2007Bank failures and bank fundamentals: A comparative analysis of Latin America and East Asia during the nineties using bank-level data242 cited
  • 2017Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios157 cited
  • 2000The Political Economy of Distress in East Asian Financial Institutions145 cited
  • 2001The Political Economy of Bank Distress: Evidence from East Asia108 cited
  • 2016Random forests-based early warning system for bank failures95 cited
  • 2014Business Analytics using Random Forest Trees for Credit Risk Prediction: A Comparison Study70 cited
  • 2018A Random Forest Approach for Predicting Online Buying Behavior of Indian Customers44 cited
  • 1999The 1994 Currency Crisis in Turkey40 cited

Cited by

  • 2023RETRACTED ARTICLE: Explainable AI Model for Recognizing Financial Crisis Roots Based on Pigeon Optimization and Gradient Boosting Model

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22 cited