Banks’ business strategies on the edge of distress

Andrea Flori (), Simone Giansante (), Claudia Girardone and Fabio Pammolli ()
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Andrea Flori: Polytechnic University of Milan
Simone Giansante: University of Bath - School of Management

Annals of Operations Research, 2021, vol. 299, issue 1, No 23, 530 pages

Abstract: Abstract The paper investigates the importance of banks’ business classification in shaping the risk profile of financial institutions on a global scale. We employ a rare-event logit model based on a state-of-the-art list of major global distress events from the global financial crisis. When clustering banks by their business strategies using a community detection approach, we show that (i) capital enhanced resilience only for traditional banks that were on average less capitalized than other banks; (ii) boosting ROE, usually associated with riskier exposures, improved resilience for stable funded and asset diversified banks; (iii) conversely, higher levels of ROA exacerbated banks’ vulnerability when associated with concentrated (not-diversified) investment structures; (iv) size in terms of total assets contributed to instability only for wholesale-funded institutions due to their high levels of unstable funding. Liquidity, on the contrary, reduced the institution likelihood of being in distress, regardless of its business classification. Although our findings refer to the recent financial crisis, they provide evidence that a tailored risk monitoring based on a proper peer group identification can facilitate banks’ distresses prediction.

Keywords: Bank business strategies; Clustering; Bank distress; Financial crisis (search for similar items in EconPapers)
JEL-codes: F01 G01 G21 G28 G33 (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10479-019-03383-z

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