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Hwan Shin

Personal Details

First Name:Hwan
Middle Name:
Last Name:Shin
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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, issue 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.

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, issue 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. 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.
    4. 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.
    5. Shaffer, Sherrill, 2007. "Equity duration and convexity when firms can fail or stagnate," Finance Research Letters, Elsevier, vol. 4(4), pages 233-241, December.
    6. 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.
    7. 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.
    8. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
    9. 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.
    10. 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.
    11. Mikhail V. Oet & Ryan Eiben & Timothy Bianco & Dieter Gramlich & Stephen J. Ong & Jing Wang, 2011. "SAFE: An early warning system for systemic banking risk," Working Paper 1129, Federal Reserve Bank of Cleveland.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Peresetsky, Anatoly, 2013. "Modeling reasons for Russian bank license withdrawal: Unaccounted factors," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 30(2), pages 49-64.

  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. 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.
    4. 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.
    5. 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.
    6. 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 Group Munich.
    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. 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.
    9. 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.
    10. 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.
    11. José 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.
    12. 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.
    13. Guglielmo Maria Caporale & Roman Matousek & Chris Stewart, 2009. "Rating Assignments: Lessons from International Banks," CESifo Working Paper Series 2618, CESifo Group Munich.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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, issue Q III, pages 49-60.
    19. 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.
    20. 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.
    21. Isabelle Distinguin & Iftekhar Hasan & Amine Tarazi, 2013. "Predicting rating changes for banks: how accurate are accounting and stock market indicators?," Post-Print hal-00915682, HAL.
    22. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
    23. 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.
    24. 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.
    25. 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.
    26. Demyanyk, Yuliya & Hasan, Iftekhar, 2010. "Financial crises and bank failures: A review of prediction methods," Omega, Elsevier, vol. 38(5), pages 315-324, October.
    27. 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.
    28. Tatom, John, 2011. "Predicting failure in the commercial banking industry," MPRA Paper 34608, University Library of Munich, Germany.
    29. 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.
    30. Henrik Andersen, 2008. "Failure prediction of Norwegian banks: A Logit approach," Working Paper 2008/02, Norges Bank.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. 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.
    47. Karina ALVES & Aquiles KALATZIS & Alberto BORGES MATIAS, "undated". "Survival Analysis of Private Banks in Brazil," EcoMod2009 21500002, EcoMod.
    48. 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.
    49. 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.
    50. Пересецкий А.А., 2007. "Методы Оценки Вероятности Дефолта Банков," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 43(3), июль.
    51. Gerald P. Dwyer & R. W. Hafer, 2001. "Bank failures in banking panics: Risky banks or road kill?," FRB Atlanta Working Paper 2001-13, Federal Reserve Bank of Atlanta.
    52. Marco Alf˜ & Giovanni Trovato & Stefano Caiazza, 2004. "Extending Logistic Approach to Risk Modelling Through Semiparametric Mixing," CEIS Research Paper 47, Tor Vergata University, CEIS.
    53. Miguel Segoviano, 2006. "Conditional Probabilty of Default Methodolgy," FMG Discussion Papers dp558, Financial Markets Group.
    54. 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.
    55. Peresetsky, Anatoly, 2013. "Modeling reasons for Russian bank license withdrawal: Unaccounted factors," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 30(2), pages 49-64.
    56. 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.

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