Predicting the US bank failure: A discriminant analysis

Citations

Cited by:

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5. 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.
6. 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.
7. Ali Ben Mrad & Amine Lahiani & Salma Mefteh-Wali & Nada Mselmi, 2025. "Predicting bank inactivity: A comparative analysis of machine learning techniques for imbalanced data," Annals of Operations Research, Springer, vol. 351(1), pages 937-963, August.
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11. Yoshino, Naoyuki & Taghizadeh-Hesary, Farhad, 2019. "Optimal credit guarantee ratio for small and medium-sized enterprises’ financing: Evidence from Asia," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 342-356.
12. José Alejandro Fernández Fernández & Virginia Bejarano Vázquez & Juan Antonio Vicente Virseda, 2019. "Evaluación de riesgos con Data Mining: el sistema financiero español," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(3), pages 309-328, Julio - S.
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14. Małgorzata Iwanicz-Drozdowska & Erkki K. Laitinen & Arto Suvas, 2018. "Paths of glory or paths of shame? An analysis of distress events in European banking," Bank i Kredyt, Narodowy Bank Polski, vol. 49(2), pages 115-144.
15. 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.
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    • 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.
17. Prodromou, Tina & Westerholm, P. Joakim, 2022. "Are high frequency traders responsible for extreme price movements?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 94-111.
18. Yi-Shu Wang & Xue Jiang & Zhen-Jia-Liu, 2016. "Bank Failure Prediction Models for the Developing and Developed Countries: Identifying the Economic Value Added for Predicting Failure," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(9), pages 522-533, September.
19. Richard J. Cebula & Jiay Xu, 2023. "A Brief Survey of Recent Studies of Bank Failures in the U.S," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 76(2), pages 265-274.
20. Robin, Iftekhar & Salim, Ruhul & Bloch, Harry, 2018. "Financial performance of commercial banks in the post-reform era: Further evidence from Bangladesh," Economic Analysis and Policy, Elsevier, vol. 58(C), pages 43-54.
21. Jowita Grzelak, 2019. "Determinants of Central Eastern European Banks’ Adequacy Risk (Determinanty ryzyka adekwatnosci kapitalowej banków Europy Srodkowo-Wschodniej)," Research Reports, University of Warsaw, Faculty of Management, vol. 1(30), pages 20-30.
22. Jacobi, Arie & Tzur, Joseph, 2021. "Wealth distribution and probability of bank failure across countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
23. repec:mth:ijafr8:v:8:y:2018:i:3:p:39-50 is not listed on IDEAS
24. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
25. Anastasios Petropoulos & Vasilis Siakoulis & Evangelos Stavroulakis, 2022. "Towards an early warning system for sovereign defaults leveraging on machine learning methodologies," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(2), pages 118-129, April.
26. 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.