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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

(903) 566-7000

3900 University Blvd., Tyler, TX 75799
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 U.S. Banking Industry," CAMA Working Papers 2009-16, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. 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.
    6. 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.
    7. Shaffer, Sherrill, 2007. "Equity duration and convexity when firms can fail or stagnate," Finance Research Letters, Elsevier, vol. 4(4), pages 233-241, December.
    8. 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.
    9. 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 127006, Russia, issue 3, pages 38-54, June.
    10. 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.
    11. Oet, Mikhail V. & Bianco, Timothy & Gramlich, Dieter & Ong, Stephen J., 2013. "SAFE: An early warning system for systemic banking risk," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4510-4533.
    12. 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.
    13. 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).
    14. 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.
    15. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
    16. 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.
    17. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Predicting US banks bankruptcy: logit versus Canonical Discriminant analysis," Post-Print halshs-01281948, HAL.
    18. 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.
    19. 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.
    20. 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.
    21. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Predicting US banks bankruptcy: logit versus Canonical Discriminant analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01281948, HAL.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. Giuseppe Montesi & Giovanni Papiro, 2018. "Bank Stress Testing: A Stochastic Simulation Framework to Assess Banks’ Financial Fragility †," Risks, MDPI, Open Access Journal, vol. 6(3), pages 1-54, August.
    27. 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.
    28. Suss, Joel & Treitel, Henry, 2019. "Predicting bank distress in the UK with machine learning," Bank of England working papers 831, Bank of England.
    29. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Guglielmo Maria Caporale & Roman Matousek & Chris Stewart, 2010. "EU Banks Rating Assignments: Is there Heterogeneity between New and Old Member Countries?," Discussion Papers of DIW Berlin 1009, DIW Berlin, German Institute for Economic Research.
    8. 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.
    9. 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.
    10. 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.
    11. Guglielmo Maria Caporale & Roman Matousek & Chris Stewart, 2009. "Rating Assignments: Lessons from International Banks," Discussion Papers of DIW Berlin 868, DIW Berlin, German Institute for Economic Research.
    12. 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.
    13. Guo Li & Lee Sanning & Sherrill Shaffer, 2009. "Statistical Opacity In The U.S. Banking Industry," CAMA Working Papers 2009-16, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    14. 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.
    15. Shaffer, Sherrill, 2007. "Equity duration and convexity when firms can fail or stagnate," Finance Research Letters, Elsevier, vol. 4(4), pages 233-241, December.
    16. 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.
    17. 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.
    18. van Soest, A.H.O. & Peresetsky, A. & Karminsky, A.M., 2003. "An Analysis of Ratings of Russian Banks," Discussion Paper 2003-85, Tilburg University, Center for Economic Research.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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).
    38. 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.
    39. 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.
    40. 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.
    41. Pilar B. à lvarez-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.
    42. Marco Cantamessa & Valentina Gatteschi & Guido Perboli & Mariangela Rosano, 2018. "Startups’ Roads to Failure," Sustainability, MDPI, Open Access Journal, vol. 10(7), pages 1-19, July.
    43. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
    44. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Predicting US banks bankruptcy: logit versus Canonical Discriminant analysis," Post-Print halshs-01281948, HAL.
    45. 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.
    46. Demyanyk, Yuliya & Hasan, Iftekhar, 2009. "Financial crises and bank failures : a review of prediction methods," Research Discussion Papers 35/2009, Bank of Finland.
    47. 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.
    48. 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.
    49. 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.
    50. 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.
    51. 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.
    52. Berger, A.N. & Imbierowicz, B. & Rauch, C., 2012. "The Roles of Corporate Governance in Bank Failures during the Recent Financial Crisis," Other publications TiSEM 019d27e7-b609-4a7d-a392-6, Tilburg University, School of Economics and Management.
    53. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Predicting US banks bankruptcy: logit versus Canonical Discriminant analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01281948, HAL.
    54. 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.
    55. 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.
    56. 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.
    57. 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.
    58. 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.
    59. 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.
    60. 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.
    61. Karina ALVES & Aquiles KALATZIS & Alberto BORGES MATIAS, 2009. "Survival Analysis of Private Banks in Brazil," EcoMod2009 21500002, EcoMod.
    62. 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.
    63. Tatom, John, 2011. "Predicting failure in the commercial banking industry," MPRA Paper 34608, University Library of Munich, Germany.
    64. 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.
    65. Henrik Andersen, 2008. "Failure prediction of Norwegian banks: A Logit approach," Working Paper 2008/02, Norges Bank.
    66. 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.
    67. 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.
    68. Пересецкий А.А., 2007. "Методы Оценки Вероятности Дефолта Банков," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 43(3), июль.
    69. 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.
    70. Miguel Segoviano, 2006. "Conditional Probabilty of Default Methodolgy," FMG Discussion Papers dp558, Financial Markets Group.
    71. Psillaki, Maria & Tsolas, Ioannis E. & Margaritis, Dimitris, 2010. "Evaluation of credit risk based on firm performance," European Journal of Operational Research, Elsevier, vol. 201(3), pages 873-881, March.
    72. 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.
    73. 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.
    74. 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.
    75. 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.
    76. 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.
    77. 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.
    78. 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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