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hwan Shin

Personal Details

First Name:Hwan
Middle Name:
Last Name:Shin
Suffix:
RePEc Short-ID:psh213
[This author has chosen not to make the email address public]

Affiliation

Economics
University of Texas-Tyler

Tyler, Texas (United States)
http://www.uttyler.edu/socialsciences/economics.htm
RePEc:edi:ecuttus (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Julapa Jagtiani & James Kolari & Catharine Lemieux & G. Hwan Shin, 2003. "Early warning models for bank supervision: Simpler could be better," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 27(Q III), pages 49-60.
  2. 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.
  3. Julapa Jagtiani & James Kolari & Catharine Lemieux & G. Hwan Shin, 2000. "Predicting inadequate capitalization: early warning system for bank supervision," Emerging Issues, Federal Reserve Bank of Chicago, issue Sep.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Julapa Jagtiani & James Kolari & Catharine Lemieux & G. Hwan Shin, 2003. "Early warning models for bank supervision: Simpler could be better," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 27(Q III), pages 49-60.

    Cited by:

    1. Gerhard Hambusch & Sherrill Shaffer, 2012. "Forecasting Bank Leverage," CAMA Working Papers 2012-56, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. 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.
    3. Jaizah Othman & Mehmet Asutay, 2018. "Integrated early warning prediction model for Islamic banks: the Malaysian case," Journal of Banking Regulation, Palgrave Macmillan, vol. 19(2), pages 118-130, April.
    4. Guo Li & Lee Sanning & Sherrill Shaffer, 2009. "Statistical opacity in the US banking sector," CAMA Working Papers 2009-16, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. Casu, Barbara & Clare, Andrew & Saleh, Nashwa, 2011. "Towards a new model for early warning signals for systemic financial fragility and near crises: an application to OECD countries," MPRA Paper 37043, University Library of Munich, Germany.
    6. Shaffer, Sherrill, 2007. "Equity duration and convexity when firms can fail or stagnate," Finance Research Letters, Elsevier, vol. 4(4), pages 233-241, December.
    7. Mehrez Ben Slama & Dhafer Saidane & Hassouna Fedhila, 2012. "How to identify targets in the M&A banking operations? Case of cross-border strategies in Europe by line of activity," Review of Quantitative Finance and Accounting, Springer, vol. 38(2), pages 209-240, February.
    8. Marina Yu. Malkina & Anton O. Ovcharov, 2019. "Financial Stress Index as a Generalized Indicator of Financial Instability," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 3, pages 38-54, June.
    9. Guo Li & Sherrill Shaffer, 2014. "Reciprocal Brokered Deposits, Bank Risk, and Recent Deposit Insurance Policy," CAMA Working Papers 2014-56, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Buchholst, Birgitte Vølund & Rangvid, Jesper, 2013. "Leading indicators of distress in Danish banks in the period 2008-12," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2013(2), pages 176-206.
    11. Ward, Felix, 2014. "Spotting the Danger Zone - Forecasting Financial Crises with Classification Tree Ensembles and Many Predictors," Bonn Econ Discussion Papers 01/2014, University of Bonn, Bonn Graduate School of Economics (BGSE).
    12. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
    13. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Predicting US banks bankruptcy: logit versus Canonical Discriminant analysis," Post-Print halshs-01281948, HAL.
    14. K. Batu Tunay, 2010. "Banking Crises and Early Warning Systems: A Model Suggestion for Turkish Banking Sector," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 4(1), pages 9-46.
    15. 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.
    16. 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.
    17. Giuseppe Montesi & Giovanni Papiro, 2018. "Bank Stress Testing: A Stochastic Simulation Framework to Assess Banks’ Financial Fragility †," Risks, MDPI, vol. 6(3), pages 1-54, August.
    18. Maria Ludovica Drudi & Stefano Nobili, 2021. "A liquidity risk early warning indicator for Italian banks: a machine learning approach," Temi di discussione (Economic working papers) 1337, Bank of Italy, Economic Research and International Relations Area.
    19. Timothy Bianco & Ryan Eiben & Dieter Gramlich & Mikhail V. Oet & Stephen J. Ong & Jing Wang, 2011. "SAFE: An early warning system for systemic banking risk," Working Papers (Old Series) 1129, Federal Reserve Bank of Cleveland.
    20. Peresetsky, Anatoly & Karminsky, Alexandr & Golovan, Sergei, 2004. "Probability of default models of Russian banks," BOFIT Discussion Papers 21/2004, Bank of Finland Institute for Emerging Economies (BOFIT).
    21. Shu Hui Lan & Jia Yi Cheng & Sheng Guo, 2016. "How to Build up the Loan - Evaluation System toward Small and Medium Enterprises between Taiwan and China’s Commercial Banks？ The Application for Multi Criteria Decision Making," International Business Research, Canadian Center of Science and Education, vol. 9(3), pages 121-142, March.
    22. Guo, Lin & Prezas, Alexandros P., 2019. "Market monitoring and influence: evidence from deposit pricing and liability composition from 1986 to 2013," Journal of Financial Stability, Elsevier, vol. 43(C), pages 146-166.
    23. McNulty, James E. & Akhigbe, Aigbe, 2017. "What do a bank’s legal expenses reveal about its internal controls and operational risk?," Journal of Financial Stability, Elsevier, vol. 30(C), pages 181-191.
    24. Harlan L. Etheridge & Kathy H. Y. Hsu, 2015. "Minimizing the Costs of Using Models to Assess the Financial Health of Banks," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 5(11), pages 9-18, November.
    25. Fabrizio Ferriani & Wanda Cornacchia & Paolo Farroni & Eliana Ferrara & Francesco Guarino & Francesco Pisanti, 2019. "An early warning system for less significant Italian banks," Questioni di Economia e Finanza (Occasional Papers) 480, Bank of Italy, Economic Research and International Relations Area.
    26. Harlan L. Etheridge & Kathy H. Y. Hsu, 2015. "Minimizing the Costs of Using Models to Assess the Financial Health of Banks," International Journal of Business and Social Research, LAR Center Press, vol. 5(11), pages 9-18, November.
    27. Radu Muntean, 2009. "Early Warning Models for Banking Supervision in Romania," Advances in Economic and Financial Research - DOFIN Working Paper Series 39, Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB.
    28. Gerhard Hambusch & Sherrill Shaffer, 2016. "Forecasting bank leverage: an alternative to regulatory early warning models," Journal of Regulatory Economics, Springer, vol. 50(1), pages 38-69, August.
    29. Peresetsky, Anatoly, 2013. "Modeling reasons for Russian bank license withdrawal: Unaccounted factors," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 30(2), pages 49-64.
    30. Suss, Joel & Treitel, Henry, 2019. "Predicting bank distress in the UK with machine learning," Bank of England working papers 831, Bank of England.
    31. Tinevimbo Santu Chokuda & Njabulo Nkomazana & Wilford Mawanza, 2017. "A Bank Failure Prediction Model for Zimbabwe: A Corporate Governance Perspective," Journal of Economics and Behavioral Studies, AMH International, vol. 9(1), pages 207-216.

  2. 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.

    Cited by:

    1. Marco Alfò & Stefano Caiazza & Giovanni Trovato, 2005. "Extending a Logistic Approach to Risk Modeling through Semiparametric Mixing," Journal of Financial Services Research, Springer;Western Finance Association, vol. 28(1), pages 163-176, October.
    2. Gerhard Hambusch & Sherrill Shaffer, 2012. "Forecasting Bank Leverage," CAMA Working Papers 2012-56, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Catarina Fernandes & Jorge Farinha & Francisco Vitorino Martins & Cesario Mateus, 2018. "Bank governance and performance: a survey of the literature," Journal of Banking Regulation, Palgrave Macmillan, vol. 19(3), pages 236-256, July.
    4. 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.
    5. 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.
    6. Jaizah Othman & Mehmet Asutay, 2018. "Integrated early warning prediction model for Islamic banks: the Malaysian case," Journal of Banking Regulation, Palgrave Macmillan, vol. 19(2), pages 118-130, April.
    7. 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.
    8. Suarez, Javier & Sánchez Serrano, Antonio, 2018. "Approaching non-performing loans from a macroprudential angle," Report of the Advisory Scientific Committee 7, European Systemic Risk Board.
    9. Guo Li & Lee Sanning & Sherrill Shaffer, 2009. "Statistical opacity in the US banking sector," CAMA Working Papers 2009-16, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Guglielmo Maria Caporale & Roman Matousek & Chris Stewart, 2010. "EU Banks Rating Assignments: Is there Heterogeneity between New and Old Member Countries?," CESifo Working Paper Series 3074, CESifo.
    11. Shaffer, Sherrill, 2007. "Equity duration and convexity when firms can fail or stagnate," Finance Research Letters, Elsevier, vol. 4(4), pages 233-241, December.
    12. De Graeve, F. & Kick, T. & Koetter, M., 2008. "Monetary policy and financial (in)stability: An integrated micro-macro approach," Journal of Financial Stability, Elsevier, vol. 4(3), pages 205-231, September.
    13. José Eduardo Gómez-Gomzález & Inés paola Orozco Hinojosa, 2009. "Un Modelo de Alerta Temprana para el Sistema Financiero Colombiano," Borradores de Economia 565, Banco de la Republica de Colombia.
    14. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    15. Jos� Eduardo Gómez-González, 2012. "Failing and Merging as Competing Alternatives during Times of Financial Distress: Evidence from the Colombian Financial Crisis," International Economic Journal, Taylor & Francis Journals, vol. 26(4), pages 655-671, October.
    16. Stephen J. Smulowitz & Horacio E. Rousseau & Philip Bromiley, 2020. "The behavioral theory of the (community‐oriented) firm: The differing response of community‐oriented firms to performance relative to aspirations," Strategic Management Journal, Wiley Blackwell, vol. 41(6), pages 1023-1053, June.
    17. Colvin, Christopher L. & de Jong, Abe & Fliers, Philip T., 2014. "Predicting the past: Understanding the causes of bank distress in the Netherlands in the 1920s," QUCEH Working Paper Series 14-04, Queen's University Belfast, Queen's University Centre for Economic History.
    18. Guglielmo Maria Caporale & Roman Matousek & Chris Stewart, 2009. "Rating Assignments: Lessons from International Banks," CESifo Working Paper Series 2618, CESifo.
    19. Bhimani, Alnoor & Gulamhussen, Mohamed Azzim & Lopes, Samuel Da-Rocha, 2010. "Accounting and non-accounting determinants of default: An analysis of privately-held firms," Journal of Accounting and Public Policy, Elsevier, vol. 29(6), pages 517-532, November.
    20. Zhivaikina, A. & Peresetsky, A., 2017. "Russian Bank Credit Ratings and Bank License Withdrawal 2012-2016," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 49-80.
    21. Distinguin, Isabelle & Hasan, Iftekhar & Tarazi, Amine, 2012. "Predicting rating changes for banks: How accurate are accounting and stock market indicators?," Bank of Finland Research Discussion Papers 15/2012, Bank of Finland.
    22. Smulowitz, Stephen J. & Almandoz, Juan (“John”), 2021. "Reprint of “Predicting employee wrongdoing: The complementary effect of CEO option pay and the pay gap”," Organizational Behavior and Human Decision Processes, Elsevier, vol. 166(C), pages 104-116.
    23. Michael Halling & Evelyn Hayden, 2008. "Bank failure prediction: a two-step survival time approach," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 56th ISI Session, Lisbon, August 2007, volume 28, pages 48-73, Bank for International Settlements.
    24. Gutiérrez López, Cristina & Abad González, Julio, 2014. "¿Permitían los estados financieros predecir los resultados de los tests de estrés de la banca española? Una aplicación del modelo logit," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 17(1), pages 58-70.
    25. Chien-Min Kang & Ming-Chieh Wang & Lin Lin, 2022. "Financial Distress Prediction of Cooperative Financial Institutions—Evidence for Taiwan Credit Unions," IJFS, MDPI, vol. 10(2), pages 1-25, April.
    26. van Soest, A.H.O. & Peresetsky, A. & Karminsky, A.M., 2003. "An Analysis of Ratings of Russian Banks," Other publications TiSEM 5b60e672-da50-41be-af9c-a, Tilburg University, School of Economics and Management.
    27. John Kandrac, 2014. "Modelling the causes and manifestation of bank stress: an example from the financial crisis," Applied Economics, Taylor & Francis Journals, vol. 46(35), pages 4290-4301, December.
    28. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Forecast bankruptcy using a blend of clustering and MARS model - Case of US banks," Post-Print halshs-01314553, HAL.
    29. Julapa Jagtiani & James Kolari & Catharine Lemieux & G. Hwan Shin, 2003. "Early warning models for bank supervision: Simpler could be better," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 27(Q III), pages 49-60.
    30. Sánchez Serrano, Antonio, 2021. "The impact of non-performing loans on bank lending in Europe: An empirical analysis," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    31. 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.
    32. 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.
    33. Pilar B. Álvarez-Franco & Diego A. Restrepo-Tobón, 2016. "Managerial efficiency and failure of U.S. commercial banks during the 2007-2009 financial crisis: was this time different?," Revista Ecos de Economía, Universidad EAFIT, vol. 20(43), pages 4-22, December.
    34. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
    35. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Predicting US banks bankruptcy: logit versus Canonical Discriminant analysis," Post-Print halshs-01281948, HAL.
    36. De Graeve, Ferre & Kick, Thomas, 2008. "Monetary policy and bank distress: an integrated micro-macro approach," Discussion Paper Series 2: Banking and Financial Studies 2008,03, Deutsche Bundesbank.
    37. Fatima Alali & Silvia Romero, 2013. "Characteristics of failed U.S. commercial banks: an exploratory study," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 53(4), pages 1149-1174, December.
    38. Ahmadian , Azam & Mahsa , Gorji, 2015. "Modeling of Banks Bankruptcy in Iran (Multivariate Statistical Analysis)," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 10(2), pages 1-24, January.
    39. K. Batu Tunay, 2010. "Banking Crises and Early Warning Systems: A Model Suggestion for Turkish Banking Sector," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 4(1), pages 9-46.
    40. Demyanyk, Yuliya & Hasan, Iftekhar, 2010. "Financial crises and bank failures: A review of prediction methods," Omega, Elsevier, vol. 38(5), pages 315-324, October.
    41. Parnes, Dror & Gormus, Alper, 2024. "Prescreening bank failures with K-means clustering: Pros and cons," International Review of Financial Analysis, Elsevier, vol. 93(C).
    42. 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.
    43. Cees Diks & Cars Hommes & Juanxi Wang, 2019. "Critical slowing down as an early warning signal for financial crises?," Empirical Economics, Springer, vol. 57(4), pages 1201-1228, October.
    44. 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.
    45. Pompella, Maurizio & Dicanio, Antonio, 2017. "Ratings based Inference and Credit Risk: Detecting likely-to-fail Banks with the PC-Mahalanobis Method," Economic Modelling, Elsevier, vol. 67(C), pages 34-44.
    46. 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.
    47. Zeineb Affes & Rania Hentati-Kaffel, 2019. "Forecast bankruptcy using a blend of clustering and MARS model: case of US banks," Annals of Operations Research, Springer, vol. 281(1), pages 27-64, October.
    48. Tatom, John, 2011. "Predicting failure in the commercial banking industry," MPRA Paper 34608, University Library of Munich, Germany.
    49. Iwanicz-Drozdowska, Małgorzata & Witkowski, Bartosz, 2022. "Regulation and supervision of the European banking industry. Does one size fit all?," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 113-129.
    50. 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.
    51. Henrik Andersen, 2008. "Failure prediction of Norwegian banks: A Logit approach," Working Paper 2008/02, Norges Bank.
    52. Wanke, Peter & Barros, Carlos P. & Faria, João R., 2015. "Financial distress drivers in Brazilian banks: A dynamic slacks approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 258-268.
    53. Nikolaos I. Papanikolaou, 2017. "To Be Bailed Out or To Be Left to Fail? A Dynamic Competing Risks Hazard Analysis," BAFES Working Papers BAFES12, Department of Accounting, Finance & Economic, Bournemouth University.
    54. Imbierowicz, Björn & Rauch, Christian, 2014. "The relationship between liquidity risk and credit risk in banks," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 242-256.
    55. Chen, Hsiao-Jung & Lin, Kuan-Ting, 2016. "How do banks make the trade-offs among risks? The role of corporate governance," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 39-69.
    56. Segoviano, Miguel A., 2006. "Conditional probability of default methodology," LSE Research Online Documents on Economics 24512, London School of Economics and Political Science, LSE Library.
    57. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Forecast bankruptcy using a blend of clustering and MARS model - Case of US banks," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01314553, HAL.
    58. Jorge E. Galán, 2021. "CREWS: a CAMELS-based early warning system of systemic risk in the banking sector," Occasional Papers 2132, Banco de España.
    59. Gallemore, J., 2012. "Deferred Tax Assests and Bank Regulatory Capital," Other publications TiSEM c4ed0879-0d89-4594-a8f5-7, Tilburg University, School of Economics and Management.
    60. 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.
    61. Peresetsky, Anatoly & Karminsky, Alexandr & Golovan, Sergei, 2004. "Probability of default models of Russian banks," BOFIT Discussion Papers 21/2004, Bank of Finland Institute for Emerging Economies (BOFIT).
    62. Citterio, Alberto, 2024. "Bank failure prediction models: Review and outlook," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    63. James W. Kolari & Ivan Pastor Sanz, 2017. "Systemic risk measurement in banking using self-organizing maps," Journal of Banking Regulation, Palgrave Macmillan, vol. 18(4), pages 338-358, November.
    64. G. Lanine & R. Vander Vennet, 2005. "Failure prediction in the Russian bank sector with logit and trait recognition models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/329, Ghent University, Faculty of Economics and Business Administration.
    65. 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.
    66. Katleho Makatjane & Ntebogang Moroke, 2021. "Predicting Extreme Daily Regime Shifts in Financial Time Series Exchange/Johannesburg Stock Exchange—All Share Index," IJFS, MDPI, vol. 9(2), pages 1-18, March.
    67. Alejandro Gaytán & Christian A. Johnson, 2002. "A Review of the Literature on Early Warning Systems for Banking Crises," Working Papers Central Bank of Chile 183, Central Bank of Chile.
    68. Lina Song & Amirul Shah Md Shahbudin, 2023. "To anticipate the bankruptcy of Baoshang Bank based on CAMELS rating system," Bank i Kredyt, Narodowy Bank Polski, vol. 54(1), pages 65-88.
    69. Maiya Anokhina & Henry Penikas & Victor Petrov, 2014. "Identifying SIFI Determinants for Global Banks and Insurance Companies: Implications for D-SIFIs in Russia," DEM Working Papers Series 085, University of Pavia, Department of Economics and Management.
    70. Sahut, Jean-Michel & Mili, Mehdi, 2011. "Banking distress in MENA countries and the role of mergers as a strategic policy to resolve distress," Economic Modelling, Elsevier, vol. 28(1-2), pages 138-146, January.
    71. Kolari, James W. & López-Iturriaga, Félix J. & Sanz, Ivan Pastor, 2020. "Measuring systemic risk in the U.S. Banking system," Economic Modelling, Elsevier, vol. 91(C), pages 646-658.
    72. Halil Erdal & Aykut Ekinci, 2013. "A Comparison of Various Artificial Intelligence Methods in the Prediction of Bank Failures," Computational Economics, Springer;Society for Computational Economics, vol. 42(2), pages 199-215, August.
    73. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Forecast bankruptcy using a blend of clustering and MARS model - Case of US banks," Documents de travail du Centre d'Economie de la Sorbonne 16026, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    74. Marco Cantamessa & Valentina Gatteschi & Guido Perboli & Mariangela Rosano, 2018. "Startups’ Roads to Failure," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    75. Fabrizio Ferriani & Wanda Cornacchia & Paolo Farroni & Eliana Ferrara & Francesco Guarino & Francesco Pisanti, 2019. "An early warning system for less significant Italian banks," Questioni di Economia e Finanza (Occasional Papers) 480, Bank of Italy, Economic Research and International Relations Area.
    76. Smulowitz, Stephen J. & Almandoz, Juan, 2021. "Predicting employee wrongdoing: The complementary effect of CEO option pay and the pay gap," Organizational Behavior and Human Decision Processes, Elsevier, vol. 162(C), pages 123-135.
    77. 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.
    78. Radu Muntean, 2009. "Early Warning Models for Banking Supervision in Romania," Advances in Economic and Financial Research - DOFIN Working Paper Series 39, Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB.
    79. Shahidur Rahman & Lian Hwa Tan & Ooi Lyn Hew & Yih San Tan, 2004. "Identifying Financial Distress Indicators of Selected Banks in Asia," Asian Economic Journal, East Asian Economic Association, vol. 18(1), pages 45-57, March.
    80. 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).
    81. Elena G. Shershneva, 2024. "CAMELS parameters’ impact on the risk of losing financial stability: The case of Russian banks," Journal of New Economy, Ural State University of Economics, vol. 25(2), pages 130-152, July.
    82. Gerhard Hambusch & Sherrill Shaffer, 2016. "Forecasting bank leverage: an alternative to regulatory early warning models," Journal of Regulatory Economics, Springer, vol. 50(1), pages 38-69, August.
    83. Karina ALVES & Aquiles KALATZIS & Alberto BORGES MATIAS, 2009. "Survival Analysis of Private Banks in Brazil," EcoMod2009 21500002, EcoMod.
    84. 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.
    85. Necmi Avkiran & Lin Cai, 2014. "Identifying distress among banks prior to a major crisis using non-oriented super-SBM," Annals of Operations Research, Springer, vol. 217(1), pages 31-53, June.
    86. 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.
    87. Пересецкий А.А., 2007. "Методы Оценки Вероятности Дефолта Банков," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 43(3), июль.
    88. Gerald P. Dwyer & Rik Hafer, 2001. "Bank failures in banking panics: Risky banks or road kill?," FRB Atlanta Working Paper 2001-13, Federal Reserve Bank of Atlanta.
    89. Miguel Segoviano, 2006. "Conditional Probabilty of Default Methodolgy," FMG Discussion Papers dp558, Financial Markets Group.
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    92. Derek-Teshun Huang & Betty Chang & Zhien-Chia Liu, 2012. "Bank failure prediction models: for the developing and developed countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(2), pages 553-558, February.
    93. Demyanyk, Yuliya & Hasan, Iftekhar, 2009. "Financial crises and bank failures: a review of prediction methods," Bank of Finland Research Discussion Papers 35/2009, Bank of Finland.
    94. Sergey Drobyshevsky & Andrey Zubarev, 2011. "Sustainability of Russian Banks in 2007-2009," Research Paper Series, Gaidar Institute for Economic Policy, issue 155P.
    95. 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.

  3. Julapa Jagtiani & James Kolari & Catharine Lemieux & G. Hwan Shin, 2000. "Predicting inadequate capitalization: early warning system for bank supervision," Emerging Issues, Federal Reserve Bank of Chicago, issue Sep.

    Cited by:

    1. Chesini, Giusy & Giaretta, Elisa, 2017. "Depositor discipline for better or for worse. What enhanced depositors’ confidence on the banking system in the last ten years?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 209-227.
    2. Christian A. Johnson, 2005. "Modelos de alerta temprana para pronosticar crisis bancarias: desde la extracción de señales a las redes neuronales," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 20(1), pages 95-121, June.
    3. G. Khaidarshina A. & Г. Хайдаршина А., 2015. "Влияние Кризисных Явлений На Развитие Банковских Систем Стран Евросоюза В Современных Условиях // The Influence Of The Crisis Phenomena On The European Union Banking Systems’ Development On The Curren," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, issue 2, pages 96-101.
    4. Yucel, Eray, 2011. "A Review and Bibliography of Early Warning Models," MPRA Paper 32893, University Library of Munich, Germany.

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