Predicting bank failures: a synthesis of literature and directions for future research

Liu, Li Xian, Liu, Shuangzhe, and Sathye, Milind (2021) Predicting bank failures: a synthesis of literature and directions for future research. Journal Of Risk And Financial Management, 14 (10). 474.

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Risk management has been a topic of great interest to Michael McAleer. Even as recent as 2020, his paper on risk management for COVID-19 was published. In his memory, this article is focused on bankruptcy risk in financial firms. For financial institutions in particular, banks are considered special, given that they perform risk management functions that are unique. Risks in banking arise from both internal and external factors. The GFC underlined the need for comprehensive risk management, and researchers since then have been working towards fulfilling that need. Similarly, the central banks across the world have begun periodic stress-testing of banks’ ability to withstand shocks. This paper investigates the machine-learning and statistical techniques used in the literature on bank failure prediction. The study finds that though considerable progress has been made using advanced statistical and computational techniques, given the complex nature of banking risk, the ability of statistical techniques to predict bank failures is limited. Machine-learning based models are increasingly becoming popular due to their significant predictive ability. The paper also suggests the directions for future research.

Item ID: 69594
Item Type: Article (Research - C1)
ISSN: 1911-8074
Copyright Information: © 2021 by the authors. Li-censee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and con-ditions of the Creative Commons At-tribution (CC BY) license (
Date Deposited: 18 Oct 2021 23:01
FoR Codes: 35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3502 Banking, finance and investment > 350204 Financial institutions (incl. banking) @ 100%
SEO Codes: 11 COMMERCIAL SERVICES AND TOURISM > 1102 Financial services > 110299 Financial services not elsewhere classified @ 100%
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