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Predicting Bank Failures: A Synthesis of Literature and Directions for Future Research
16 references·2 citing·33 second hop
Predicting Bank Failures: A Synthesis of Literature and Directions for Future Research (2021)Predicting Bank Failures: A Synthesis of …The Roles of Corporate Governance in Bank Failures during the Recent Financial Crisis (2016)The Roles of Corporate Govern…Nontraditional banking activities and bank failures during the financial crisis (2013)Nontraditional banking activi…Déjà Vu All Over Again: The Causes of U.S. Commercial Bank Failures This Time Around (2011)Déjà Vu All Over Again: The C…Comparative analysis of data mining methods for bankruptcy prediction (2011)Comparative analysis of data …Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…Why do Banks Disappear? The Determinants of U.S. Bank Failures and Acquisitions (2000)Why do Banks Disappear? The D…The Twin Crises: The Causes of Banking and Balance-of-Payments Problems (1999)The Twin Crises: The Causes o…The Determinants of Banking Crises in Developing and Developed Countries (1998)The Determinants of Banking C…Recognizing Financial Distress Patterns Using a Neural Network Tool (1993)Recognizing Financial Distres…An application of the cox proportional hazards model to bank failure (1986)An application of the cox pro…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…Early warning of bank failure (1977)Early warning of bank failureA MULTIVARIATE STATISTICAL ANALYSIS OF THE CHARACTERISTICS OF PROBLEM BANKS (1975)A MULTIVARIATE STATISTICAL AN…The Information Content of Annual Earnings Announcements (1968)The Information Content of An…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…RETRACTED ARTICLE: Explainable AI Model for Recognizing Financial Crisis Roots Based on Pigeon Optimization and Gradient Boosting Model (2023)RETRACTED ARTICLE: Explainabl…Harnessing the Power of Artificial Intelligence to Forecast Startup Success: An Empirical Evaluation of the SECURE AI Model (2023)Harnessing the Power of Artif…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Predicting corporate bankruptcy: where we stand? (2006)Are Competitive Banking Systems More Stable? (2009)Frailty Correlated Default (2009)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Bank Runs, Deposit Insurance, and Liquidity (1983)Qualitative Response Models: A Survey (1994)Does deposit insurance increase banking system stability? An empirical investigation (2002)Bank concentration, competition, and crises: First results (2005)Hazardous Times for Monetary Policy: What Do Twenty-Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk-Taking? (2014)Formulation and estimation of stochastic frontier production function models (1977)Measuring the efficiency of decision making units (1978)Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis (1984)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Back to the basics in banking? A micro-analysis of banking system stability (2009)A Model of Balance-of-Payments Crises (1979)New Indexes of Coincident and Leading Economic Indicators (1989)Does financial liberalization spur growth? (2005)Economic Freedom of the World: 2022 Annual Report (2022)Credit risk measurement: Developments over the last 20 years (1997)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Using daily stock returns (1985)Capital markets research in accounting (2001)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1999The Twin Crises: The Causes of Banking and Balance-of-Payments Problems4,990 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1968The Information Content of Annual Earnings Announcements2,739 cited
  • 1998The Determinants of Banking Crises in Developing and Developed Countries1,799 cited
  • 1977Early warning of bank failure960 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 2000Why do Banks Disappear? The Determinants of U.S. Bank Failures and Acquisitions695 cited
  • 1986An application of the cox proportional hazards model to bank failure559 cited
  • 2013Nontraditional banking activities and bank failures during the financial crisis540 cited
  • 1975A MULTIVARIATE STATISTICAL ANALYSIS OF THE CHARACTERISTICS OF PROBLEM BANKS485 cited
  • 1993Recognizing Financial Distress Patterns Using a Neural Network Tool470 cited
  • 2011Déjà Vu All Over Again: The Causes of U.S. Commercial Bank Failures This Time Around438 cited
  • 2016

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The Roles of Corporate Governance in Bank Failures during the Recent Financial Crisis
324 cited
  • 2011Comparative analysis of data mining methods for bankruptcy prediction323 cited
  • Cited by

    • 2023RETRACTED ARTICLE: Explainable AI Model for Recognizing Financial Crisis Roots Based on Pigeon Optimization and Gradient Boosting Model22 cited
    • 2023Harnessing the Power of Artificial Intelligence to Forecast Startup Success: An Empirical Evaluation of the SECURE AI Model12 cited