IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v92y2024ics003801212400017x.html
   My bibliography  Save this article

Bank failure prediction models: Review and outlook

Author

Listed:
  • Citterio, Alberto

Abstract

This paper presents a literature review of recent empirical contributions on bank default prediction. The topic has always been important in the banking and finance literature, but it gained increasing interest especially after the 2008–2009 global financial crisis. The significant consequences of bankruptcy cases have highlighted the need for managers and regulators to develop and adopt appropriate early warning systems.

Suggested Citation

  • Citterio, Alberto, 2024. "Bank failure prediction models: Review and outlook," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    • Handle: RePEc:eee:soceps:v:92:y:2024:i:c:s003801212400017x
    DOI: 10.1016/j.seps.2024.101818
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S003801212400017X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.seps.2024.101818?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nyman, Rickard & Kapadia, Sujit & Tuckett, David, 2021. "News and narratives in financial systems: Exploiting big data for systemic risk assessment," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    2. Simpson, W. Gary & Gleason, Anne E., 1999. "Board structure, ownership, and financial distress in banking firms," International Review of Economics & Finance, Elsevier, vol. 8(3), pages 281-292, September.
    3. Sinkey, Joseph F, Jr, 1975. "A Multivariate Statistical Analysis of the Characteristics of Problem Banks," Journal of Finance, American Finance Association, vol. 30(1), pages 21-36, March.
    4. Priyank Gandhi & Tim Loughran & Bill McDonald, 2019. "Using Annual Report Sentiment as a Proxy for Financial Distress in U.S. Banks," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 20(4), pages 424-436, October.
    5. Wu, Meng-Wen & Shen, Chung-Hua, 2013. "Corporate social responsibility in the banking industry: Motives and financial performance," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3529-3547.
    6. Itamar Drechsler & Alexi Savov & Philipp Schnabl, 2017. "The Deposits Channel of Monetary Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1819-1876.
    7. Kolari, James W. & López-Iturriaga, Félix J. & Sanz, Ivan Pastor, 2019. "Predicting European bank stress tests: Survival of the fittest," Global Finance Journal, Elsevier, vol. 39(C), pages 44-57.
    8. Nizam, Esma & Ng, Adam & Dewandaru, Ginanjar & Nagayev, Ruslan & Nkoba, Malik Abdulrahman, 2019. "The impact of social and environmental sustainability on financial performance: A global analysis of the banking sector," Journal of Multinational Financial Management, Elsevier, vol. 49(C), pages 35-53.
    9. Bhattacharya Sudipto & Thakor Anjan V., 1993. "Contemporary Banking Theory," Journal of Financial Intermediation, Elsevier, vol. 3(1), pages 2-50, October.
    10. E. Nur Ozkan‐Gunay & Mehmed Ozkan, 2007. "Prediction of bank failures in emerging financial markets: an ANN approach," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 8(5), pages 465-480, November.
    11. Manuel Branco & Lúcia Rodrigues, 2006. "Corporate Social Responsibility and Resource-Based Perspectives," Journal of Business Ethics, Springer, vol. 69(2), pages 111-132, December.
    12. Kemp-Benedict, Eric, 2018. "Investing in a Green Transition," Ecological Economics, Elsevier, vol. 153(C), pages 218-236.
    13. Tongyu Wang & Shangmei Zhao & Guangxiang Zhu & Haitao Zheng, 2021. "A machine learning-based early warning system for systemic banking crises," Applied Economics, Taylor & Francis Journals, vol. 53(26), pages 2974-2992, June.
    14. Constantin, Andreea & Peltonen, Tuomas A. & Sarlin, Peter, 2018. "Network linkages to predict bank distress," Journal of Financial Stability, Elsevier, vol. 35(C), pages 226-241.
    15. Nobanee, Haitham & Ellili, Nejla, 2016. "Corporate sustainability disclosure in annual reports: Evidence from UAE banks: Islamic versus conventional," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1336-1341.
    16. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 24(Win), pages 14-23.
    17. repec:eme:mfppss:mf-12-2016-0372 is not listed on IDEAS
    18. Aykut Ekinci & Halil İbrahim Erdal, 2017. "Forecasting Bank Failure: Base Learners, Ensembles and Hybrid Ensembles," Computational Economics, Springer;Society for Computational Economics, vol. 49(4), pages 677-686, April.
    19. Marina Brogi & Valentina Lagasio, 2019. "Environmental, social, and governance and company profitability: Are financial intermediaries different?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(3), pages 576-587, May.
    20. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    21. Olaf Weber, 2017. "Corporate sustainability and financial performance of Chinese banks," Sustainability Accounting, Management and Policy Journal, Emerald Group Publishing Limited, vol. 8(3), pages 358-385, July.
    22. Remmer Sassen & Anne-Kathrin Hinze & Inga Hardeck, 2016. "Impact of ESG factors on firm risk in Europe," Journal of Business Economics, Springer, vol. 86(8), pages 867-904, November.
    23. Zeineb Affes & Rania Hentati-Kaffel, 2019. "Predicting US Banks Bankruptcy: Logit Versus Canonical Discriminant Analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03045837, HAL.
    24. Dario Sansone & Anna Zhu, 2023. "Using Machine Learning to Create an Early Warning System for Welfare Recipients," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(5), pages 959-992, October.
    25. Bhattacharya, Sudipto & Boot, Arnoud W A & Thakor, Anjan V, 1998. "The Economics of Bank Regulation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 30(4), pages 745-770, November.
    26. Isabelle Distinguin & Iftekhar Hasan & Amine Tarazi, 2010. "The use of accounting data to predict bank financial distress in MENA countries," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(4), pages 332-356.
    27. Gillet, Roland & Hübner, Georges & Plunus, Séverine, 2010. "Operational risk and reputation in the financial industry," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 224-235, January.
    28. Francisco Javier Forcadell & Elisa Aracil, 2017. "European Banks' Reputation for Corporate Social Responsibility," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 24(1), pages 1-14, January.
    29. Raymond A.K. Cox & Grace W.-Y. Wang, 2014. "Predicting the US bank failure: A discriminant analysis," Economic Analysis and Policy, Elsevier, vol. 44(2), pages 202-211.
    30. Isabelle Distinguin & Iftekhar Hasan & Amine Tarazi, 2013. "Predicting rating changes for banks: how accurate are accounting and stock market indicators?," Annals of Finance, Springer, vol. 9(3), pages 471-500, August.
    31. Douglas W. Diamond, 1984. "Financial Intermediation and Delegated Monitoring," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(3), pages 393-414.
    32. Kolari, James & Glennon, Dennis & Shin, Hwan & Caputo, Michele, 2002. "Predicting large US commercial bank failures," Journal of Economics and Business, Elsevier, vol. 54(4), pages 361-387.
    33. Tigran Poghosyan & Martin Čihak, 2011. "Determinants of Bank Distress in Europe: Evidence from a New Data Set," Journal of Financial Services Research, Springer;Western Finance Association, vol. 40(3), pages 163-184, December.
    34. Harlan Platt & Marjorie Platt, 2002. "Predicting corporate financial distress: Reflections on choice-based sample bias," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 26(2), pages 184-199, June.
    35. Daekyum Kim & Sang-Hun Kim & Taekyoung Kim & Brian Byunghyun Kang & Minhyuk Lee & Wookeun Park & Subyeong Ku & DongWook Kim & Junghan Kwon & Hochang Lee & Joonbum Bae & Yong-Lae Park & Kyu-Jin Cho & S, 2021. "Review of machine learning methods in soft robotics," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-24, February.
    36. Franklin Allen & Douglas Gale, 2004. "Competition and financial stability," Proceedings, Federal Reserve Bank of Cleveland, pages 453-486.
    37. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    38. Anatoly Peresetsky & Alexandr Karminsky & Sergei Golovan, 2011. "Probability of default models of Russian banks," Economic Change and Restructuring, Springer, vol. 44(4), pages 297-334, November.
    39. Theophilos Papadimitriou & Periklis Gogas & Vasilios Plakandaras & John C. Mourmouris, 2013. "Forecasting the insolvency of US banks using support vector machines (SVMs) based on local learning feature selection," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 3(1/2), pages 83-90.
    40. Davis, E. Philip & Karim, Dilruba, 2008. "Comparing early warning systems for banking crises," Journal of Financial Stability, Elsevier, vol. 4(2), pages 89-120, June.
    41. Khan, Muhammad Arif, 2022. "ESG disclosure and Firm performance: A bibliometric and meta analysis," Research in International Business and Finance, Elsevier, vol. 61(C).
    42. Zeineb Affes & Rania Hentati-Kaffel, 2019. "Predicting US Banks Bankruptcy: Logit Versus Canonical Discriminant Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 199-244, June.
    43. Papanikolaou, Nikolaos I., 2018. "A dual early warning model of bank distress," Economics Letters, Elsevier, vol. 162(C), pages 127-130.
    44. Obeua S. Persons, 1999. "Using Financial Information to Differentiate Failed vs. Surviving Finance Companies in Thailand: An Implication for Emerging Economies," Multinational Finance Journal, Multinational Finance Journal, vol. 3(2), pages 127-145, June.
    45. Filippopoulou, Chryssanthi & Galariotis, Emilios & Spyrou, Spyros, 2020. "An early warning system for predicting systemic banking crises in the Eurozone: A logit regression approach," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 344-363.
    46. Jessica Paule-Vianez & Milagros Gutiérrez-Fernández & José Luis Coca-Pérez, 2019. "Prediction of financial distress in the Spanish banking system," Applied Economic Analysis, Emerald Group Publishing Limited, vol. 28(82), pages 69-87, December.
    47. Raghuram G. Rajan & Luigi Zingales, 1998. "Power in a Theory of the Firm," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(2), pages 387-432.
    48. Tam, KY, 1991. "Neural network models and the prediction of bank bankruptcy," Omega, Elsevier, vol. 19(5), pages 429-445.
    49. Ehab Zaki & Rahim Bah & Ananth Rao, 2011. "Assessing probabilities of financial distress of banks in UAE," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 7(3), pages 304-320, June.
    50. Climent, Francisco & Momparler, Alexandre & Carmona, Pedro, 2019. "Anticipating bank distress in the Eurozone: An Extreme Gradient Boosting approach," Journal of Business Research, Elsevier, vol. 101(C), pages 885-896.
    51. Ravi Kumar, P. & Ravi, V., 2007. "Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review," European Journal of Operational Research, Elsevier, vol. 180(1), pages 1-28, July.
    52. John H. Boyd & Gianni De Nicoló, 2005. "The Theory of Bank Risk Taking and Competition Revisited," Journal of Finance, American Finance Association, vol. 60(3), pages 1329-1343, June.
    53. Fiordelisi, Franco & Mare, Davide Salvatore, 2013. "Probability of default and efficiency in cooperative banking," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 30-45.
    54. Isabelle Distinguin & Philippe Rous & Amine Tarazi, 2006. "Market Discipline and the Use of Stock Market Data to Predict Bank Financial Distress," Journal of Financial Services Research, Springer;Western Finance Association, vol. 30(2), pages 151-176, October.
    55. Kimmel, Randall K. & Thornton, John H. & Bennett, Sara E., 2016. "Can statistics-based early warning systems detect problem banks before markets?," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 190-216.
    56. Agarwal, Vineet & Taffler, Richard, 2008. "Comparing the performance of market-based and accounting-based bankruptcy prediction models," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1541-1551, August.
    57. Issam Laguir & Magalie Marais & Jamal El Baz & Rébecca Stekelorum, 2018. "Reversing the business rationale for environmental commitment in banking," Post-Print hal-02061410, HAL.
    58. Rebel Cole & Lawrence White, 2012. "Déjà Vu All Over Again: The Causes of U.S. Commercial Bank Failures This Time Around," Journal of Financial Services Research, Springer;Western Finance Association, vol. 42(1), pages 5-29, October.
    59. Kar Yan Tam & Melody Y. Kiang, 1992. "Managerial Applications of Neural Networks: The Case of Bank Failure Predictions," Management Science, INFORMS, vol. 38(7), pages 926-947, July.
    60. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    61. Georgios Manthoulis & Michalis Doumpos & Constantin Zopounidis & Emilios C. C Galariotis, 2020. "An ordinal classification framework for bank failure prediction: Methodology and empirical evidence for US banks," Post-Print hal-02413358, HAL.
    62. Fiordelisi, Franco & Soana, Maria-Gaia & Schwizer, Paola, 2013. "The determinants of reputational risk in the banking sector," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1359-1371.
    63. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    64. Betz, Frank & Oprică, Silviu & Peltonen, Tuomas A. & Sarlin, Peter, 2014. "Predicting distress in European banks," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 225-241.
    65. Stéphanie Stolz & Michael Wedow, 2011. "Government measures in support of the financial sector in the EU and the United States," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 46(1), pages 53-60, January.
    66. Y. Fassin & D. Gossselin, 2011. "The collapse of a European bank in the financial crisis: an analysis from strategic, stakeholder, ethical and governance perspectives," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/726, Ghent University, Faculty of Economics and Business Administration.
    67. Hong, Han & Huang, Jing-Zhi & Wu, Deming, 2014. "The information content of Basel III liquidity risk measures," Journal of Financial Stability, Elsevier, vol. 15(C), pages 91-111.
    68. Arena, Marco, 2008. "Bank failures and bank fundamentals: A comparative analysis of Latin America and East Asia during the nineties using bank-level data," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 299-310, February.
    69. Daniel E. O’Leary, 1998. "Using neural networks to predict corporate failure," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 7(3), pages 187-197, September.
    70. Bräuning, Michael & Malikkidou, Despo & Scricco, Giorgio & Scalone, Stefano, 2019. "A new approach to Early Warning Systems for small European banks," Working Paper Series 2348, European Central Bank.
    71. Kim Ristolainen, 2018. "Predicting Banking Crises with Artificial Neural Networks: The Role of Nonlinearity and Heterogeneity," Scandinavian Journal of Economics, Wiley Blackwell, vol. 120(1), pages 31-62, January.
    72. Pham, Xuan T.T. & Ho, Tin H., 2021. "Using boosting algorithms to predict bank failure: An untold story," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 40-54.
    73. Canbas, Serpil & Cabuk, Altan & Kilic, Suleyman Bilgin, 2005. "Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case," European Journal of Operational Research, Elsevier, vol. 166(2), pages 528-546, October.
    74. W. Gibb Dyer Jr. & David A. Whetten, 2006. "Family Firms and Social Responsibility: Preliminary Evidence from the S&P 500," Entrepreneurship Theory and Practice, , vol. 30(6), pages 785-802, November.
    75. Petropoulos, Anastasios & Siakoulis, Vasilis & Stavroulakis, Evangelos & Vlachogiannakis, Nikolaos E., 2020. "Predicting bank insolvencies using machine learning techniques," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1092-1113.
    76. James B. Thomson, 1991. "Predicting bank failures in the 1980s," Economic Review, Federal Reserve Bank of Cleveland, vol. 27(Q I), pages 9-20.
    77. Sumit Sarkar & Ram S. Sriram, 2001. "Bayesian Models for Early Warning of Bank Failures," Management Science, INFORMS, vol. 47(11), pages 1457-1475, November.
    78. Yves Fassin & Derrick Gosselin, 2011. "The Collapse of a European Bank in the Financial Crisis: An Analysis from Stakeholder and Ethical Perspectives," Journal of Business Ethics, Springer, vol. 102(2), pages 169-191, August.
    79. Hsiang-Lin Chih & Hsiang-Hsuan Chih & Tzu-Yin Chen, 2010. "On the Determinants of Corporate Social Responsibility: International Evidence on the Financial Industry," Journal of Business Ethics, Springer, vol. 93(1), pages 115-135, April.
    80. Linthicum, Cheryl & Reitenga, Austin L. & Sanchez, Juan Manuel, 2010. "Social responsibility and corporate reputation: The case of the Arthur Andersen Enron audit failure," Journal of Accounting and Public Policy, Elsevier, vol. 29(2), pages 160-176, March.
    81. David Barker & David G. Holdsworth, 1993. "The causes of bank failures in the 1980s," Research Paper 9325, Federal Reserve Bank of New York.
    82. Isabel‐María García‐Sánchez & Emma García‐Meca, 2017. "CSR Engagement and Earnings Quality in Banks. The Moderating Role of Institutional Factors," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 24(2), pages 145-158, March.
    83. Gunnar Friede & Timo Busch & Alexander Bassen, 2015. "ESG and financial performance: aggregated evidence from more than 2000 empirical studies," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 5(4), pages 210-233, October.
    84. Maria-Gaia Soana, 2011. "The Relationship Between Corporate Social Performance and Corporate Financial Performance in the Banking Sector," Journal of Business Ethics, Springer, vol. 104(1), pages 133-148, November.
    85. Cipollini, Andrea & Fiordelisi, Franco, 2012. "Economic value, competition and financial distress in the European banking system," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3101-3109.
    86. Catherine Liston-Heyes & Gwen Ceton, 2009. "An Investigation of Real Versus Perceived CSP in S&P-500 Firms," Journal of Business Ethics, Springer, vol. 89(2), pages 283-296, October.
    87. Santosh Shrivastava & P Mary Jeyanthi & Sarbjit Singh & David McMillan, 2020. "Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1729569-172, January.
    88. Le, Hong Hanh & Viviani, Jean-Laurent, 2018. "Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios," Research in International Business and Finance, Elsevier, vol. 44(C), pages 16-25.
    89. Glavas, Ante & Kelley, Ken, 2014. "The Effects of Perceived Corporate Social Responsibility on Employee Attitudes," Business Ethics Quarterly, Cambridge University Press, vol. 24(2), pages 165-202, April.
    90. Luc Laeven, 2011. "Banking Crises: A Review," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 17-40, December.
    91. Zhongbo Jing & Yi Fang, 2018. "Predicting US bank failures: A comparison of logit and data mining models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(2), pages 235-256, March.
    92. Raffaella Calabrese & Paolo Giudici, 2015. "Estimating bank default with generalised extreme value regression models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(11), pages 1783-1792, November.
    93. Andreas Charitou & Evi Neophytou & Chris Charalambous, 2004. "Predicting corporate failure: empirical evidence for the UK," European Accounting Review, Taylor & Francis Journals, vol. 13(3), pages 465-497.
    94. Chen, Ting-Hsuan & Lee, Chien-Chiang & Shen, Chung-Hua, 2022. "Liquidity indicators, early warning signals in banks, and financial crises," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    95. Fatih Ecer, 2013. "Comparing the Bank Failure Prediction Performance of Neural Networks and Support Vector Machines: The Turkish Case," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 26(3), pages 81-98, January.
    96. Maghyereh, Aktham I. & Awartani, Basel, 2014. "Bank distress prediction: Empirical evidence from the Gulf Cooperation Council countries," Research in International Business and Finance, Elsevier, vol. 30(C), pages 126-147.
    97. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    98. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
    99. Flannery, Mark J, 1998. "Using Market Information in Prudential Bank Supervision: A Review of the U.S. Empirical Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 30(3), pages 273-305, August.
    100. Jagtiani, Julapa & Lemieux, Catharine, 2001. "Market discipline prior to bank failure," Journal of Economics and Business, Elsevier, vol. 53(2-3), pages 313-324.
    101. Demyanyk, Yuliya & Hasan, Iftekhar, 2010. "Financial crises and bank failures: A review of prediction methods," Omega, Elsevier, vol. 38(5), pages 315-324, October.
    102. Allen N. Berger & Björn Imbierowicz & Christian Rauch, 2016. "The Roles of Corporate Governance in Bank Failures during the Recent Financial Crisis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(4), pages 729-770, June.
    103. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    104. Jin, Justin Yiqiang & Kanagaretnam, Kiridaran & Lobo, Gerald J., 2011. "Ability of accounting and audit quality variables to predict bank failure during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2811-2819, November.
    105. Thorsten Beck & Asli Demirgüç-Kunt & Ross Levine, 2010. "Financial Institutions and Markets across Countries and over Time: The Updated Financial Development and Structure Database," The World Bank Economic Review, World Bank, vol. 24(1), pages 77-92, January.
    106. Jones, Stewart & Johnstone, David & Wilson, Roy, 2015. "An empirical evaluation of the performance of binary classifiers in the prediction of credit ratings changes," Journal of Banking & Finance, Elsevier, vol. 56(C), pages 72-85.
    107. Taha Zaghdoudi, 2013. "Bank Failure Prediction with Logistic Regression," International Journal of Economics and Financial Issues, Econjournals, vol. 3(2), pages 537-543.
    108. Hoje Jo & Hakkon Kim & Kwangwoo Park, 2015. "Corporate Environmental Responsibility and Firm Performance in the Financial Services Sector," Journal of Business Ethics, Springer, vol. 131(2), pages 257-284, October.
    109. Issam Laguir & Magalie Marais & Jamal El Baz & Rebecca Stekelorum, 2018. "Reversing the business rationale for environmental commitment in banking," Post-Print hal-03542444, HAL.
    110. Bert Scholtens & Sophie van’t Klooster, 2019. "Sustainability and bank risk," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-8, December.
    111. Curry, Timothy J. & Elmer, Peter J. & Fissel, Gary S., 2007. "Equity market data, bank failures and market efficiency," Journal of Economics and Business, Elsevier, vol. 59(6), pages 536-559.
    112. Altman, Edward I, 1984. "A Further Empirical Investigation of the Bankruptcy Cost Question," Journal of Finance, American Finance Association, vol. 39(4), pages 1067-1089, September.
    113. Hilscher, Jens Dietrich & Campbell, John Y. & Szilagyi, Jan, 2011. "Predicting Financial Distress and the Performance of Distressed Stocks," Scholarly Articles 9887619, Harvard University Department of Economics.
    114. Francesco Gangi & Antonio Meles & Eugenio D'Angelo & Lucia Michela Daniele, 2019. "Sustainable development and corporate governance in the financial system: Are environmentally friendly banks less risky?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(3), pages 529-547, May.
    115. Olaf Weber, 2014. "The financial sector's impact on sustainable development," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 4(1), pages 1-8, January.
    116. repec:eme:mfppss:v:36:y:2010:i:6:p:482-490 is not listed on IDEAS
    117. Manthoulis, Georgios & Doumpos, Michalis & Zopounidis, Constantin & Galariotis, Emilios, 2020. "An ordinal classification framework for bank failure prediction: Methodology and empirical evidence for US banks," European Journal of Operational Research, Elsevier, vol. 282(2), pages 786-801.
    118. Andrés Alonso & José Manuel Carbó, 2020. "Machine learning in credit risk: measuring the dilemma between prediction and supervisory cost," Working Papers 2032, Banco de España.
    119. Stefano Dell'Atti & Annarita Trotta & Antonia Patrizia Iannuzzi & Federica Demaria, 2017. "Corporate Social Responsibility Engagement as a Determinant of Bank Reputation: An Empirical Analysis," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 24(6), pages 589-605, November.
    120. Cleary, Sean & Hebb, Greg, 2016. "An efficient and functional model for predicting bank distress: In and out of sample evidence," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 101-111.
    121. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    122. Giuseppe Cascarino & Mirko Moscatelli & Fabio Parlapiano, 2022. "Explainable Artificial Intelligence: interpreting default forecasting models based on Machine Learning," Questioni di Economia e Finanza (Occasional Papers) 674, Bank of Italy, Economic Research and International Relations Area.
    123. Meyer, Paul A & Pifer, Howard W, 1970. "Prediction of Bank Failures," Journal of Finance, American Finance Association, vol. 25(4), pages 853-868, September.
    124. Cornett, Marcia Millon & Erhemjamts, Otgontsetseg & Tehranian, Hassan, 2016. "Greed or good deeds: An examination of the relation between corporate social responsibility and the financial performance of U.S. commercial banks around the financial crisis," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 137-159.
    125. Libby, R, 1975. "Accounting Ratios And Prediction Of Failure - Some Behavioral Evidence," Journal of Accounting Research, Wiley Blackwell, vol. 13(1), pages 150-161.
    126. Carmona, Pedro & Climent, Francisco & Momparler, Alexandre, 2019. "Predicting failure in the U.S. banking sector: An extreme gradient boosting approach," International Review of Economics & Finance, Elsevier, vol. 61(C), pages 304-323.
    127. World Bank, 2020. "Global Economic Prospects, June 2020," World Bank Publications - Books, The World Bank Group, number 33748, December.
    128. Erica Xuewei Jiang & Gregor Matvos & Tomasz Piskorski & Amit Seru, 2023. "Monetary Tightening and U.S. Bank Fragility in 2023: Mark-to-Market Losses and Uninsured Depositor Runs?," NBER Working Papers 31048, National Bureau of Economic Research, Inc.
    129. Gogas, Periklis & Papadimitriou, Theophilos & Agrapetidou, Anna, 2018. "Forecasting bank failures and stress testing: A machine learning approach," International Journal of Forecasting, Elsevier, vol. 34(3), pages 440-455.
    130. Jayasuriya Mahapatabendige Ruwani Fernando & Leon Li & Yang (Greg) Hou, 2019. "Corporate governance and default prediction: a reality test," Applied Economics, Taylor & Francis Journals, vol. 51(24), pages 2669-2686, May.
    131. Mechelli, Alessandro & Cimini, Riccardo & Mazzocchetti, Francesca, 2017. "The usefulness of the business model disclosure for investors’ judgements in financial entities. A European study," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 20(1), pages 1-12.
    132. Santosh Kumar Shrivastav & P. Janaki Ramudu, 2020. "Bankruptcy Prediction and Stress Quantification Using Support Vector Machine: Evidence from Indian Banks," Risks, MDPI, vol. 8(2), pages 1-22, May.
    133. de Haan, Jakob & Fang, Yi & Jing, Zhongbo, 2020. "Does the risk on banks’ balance sheets predict banking crises? New evidence for developing countries," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 254-268.
    134. Chiaramonte, Laura & Casu, Barbara, 2017. "Capital and liquidity ratios and financial distress. Evidence from the European banking industry," The British Accounting Review, Elsevier, vol. 49(2), pages 138-161.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li Xian Liu & Shuangzhe Liu & Milind Sathye, 2021. "Predicting Bank Failures: A Synthesis of Literature and Directions for Future Research," JRFM, MDPI, vol. 14(10), pages 1-24, October.
    2. Jorge E. Galán, 2021. "CREWS: a CAMELS-based early warning system of systemic risk in the banking sector," Occasional Papers 2132, Banco de España.
    3. Manthoulis, Georgios & Doumpos, Michalis & Zopounidis, Constantin & Galariotis, Emilios, 2020. "An ordinal classification framework for bank failure prediction: Methodology and empirical evidence for US banks," European Journal of Operational Research, Elsevier, vol. 282(2), pages 786-801.
    4. Kristóf, Tamás & Virág, Miklós, 2022. "EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks," Research in International Business and Finance, Elsevier, vol. 61(C).
    5. Zhiyong Li & Chen Feng & Ying Tang, 2022. "Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis," Annals of Operations Research, Springer, vol. 315(1), pages 279-315, August.
    6. Papanikolaou, Nikolaos I., 2018. "To be bailed out or to be left to fail? A dynamic competing risks hazard analysis," Journal of Financial Stability, Elsevier, vol. 34(C), pages 61-85.
    7. Gogas, Periklis & Papadimitriou, Theophilos & Agrapetidou, Anna, 2018. "Forecasting bank failures and stress testing: A machine learning approach," International Journal of Forecasting, Elsevier, vol. 34(3), pages 440-455.
    8. repec:erf:erfstu:78 is not listed on IDEAS
    9. Basim Alzugaiby & Jairaj Gupta & Andrew Mullineux & Rizwan Ahmed, 2021. "Relevance of size in predicting bank failures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3504-3543, July.
    10. fernández, María t. Tascón & gutiérrez, Francisco J. Castaño, 2012. "Variables y Modelos Para La Identificación y Predicción Del Fracaso Empresarial: Revisión de La Investigación Empírica Reciente," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 15(1), pages 7-58.
    11. Evžen Kočenda & Ichiro Iwasaki, 2022. "Bank survival around the world: A meta‐analytic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 108-156, February.
    12. Theophilos Papadimitriou & Periklis Gogas & Anna Agrapetidou, 2022. "The resilience of the U.S. banking system," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 2819-2835, July.
    13. Citterio, Alberto & King, Timothy, 2023. "The role of Environmental, Social, and Governance (ESG) in predicting bank financial distress," Finance Research Letters, Elsevier, vol. 51(C).
    14. Mohammad Mahdi Mousavi & Jamal Ouenniche & Kaoru Tone, 2023. "A dynamic performance evaluation of distress prediction models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 756-784, July.
    15. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Predicting US banks bankruptcy: logit versus Canonical Discriminant analysis," Documents de travail du Centre d'Economie de la Sorbonne 16016, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    16. Saad Alsunbul & Basim Alzugaiby & Sajid Chaudhry & Rhada Boujlil, 2024. "The fatter the tail, the shorter the sail," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 331-380, March.
    17. Fiordelisi, Franco & Mare, Davide Salvatore, 2013. "Probability of default and efficiency in cooperative banking," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 30-45.
    18. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Predicting US banks bankruptcy: logit versus Canonical Discriminant analysis," Post-Print halshs-01281948, HAL.
    19. Zeineb Affes & Rania Hentati-Kaffel, 2019. "Predicting US Banks Bankruptcy: Logit Versus Canonical Discriminant Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 199-244, June.
    20. du Jardin, Philippe, 2015. "Bankruptcy prediction using terminal failure processes," European Journal of Operational Research, Elsevier, vol. 242(1), pages 286-303.
    21. Betz, Frank & Oprică, Silviu & Peltonen, Tuomas A. & Sarlin, Peter, 2014. "Predicting distress in European banks," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 225-241.

    More about this item

    Keywords

    Bank failures; Financial distress; Prediction models; Financial indicators; Non-financial indicators;
    All these keywords.

    JEL classification:

    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G01 - Financial Economics - - General - - - Financial Crises
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:92:y:2024:i:c:s003801212400017x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.