Using boosting algorithms to predict bank failure: An untold story

Author(s):  
Thi Thanh Xuan Pham ◽  
Huu Tin Ho
1999 ◽  
Vol 23 (1) ◽  
pp. 99-111 ◽  
Author(s):  
Robert A. Weigand ◽  
Donald R. Fraser ◽  
Babu G. Baradwaj
Keyword(s):  

2016 ◽  
Vol 104 (2-3) ◽  
pp. 359-384 ◽  
Author(s):  
Nikolaos Nikolaou ◽  
Narayanan Edakunni ◽  
Meelis Kull ◽  
Peter Flach ◽  
Gavin Brown
Keyword(s):  

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110459
Author(s):  
Małgorzata Iwanicz-Drozdowska ◽  
Krzysztof Jackowicz ◽  
Maciej Karczmarczyk

In this study, we analyze the probability of bank failure, the expected losses, and the costs of bank restructuring with the application of a lognormal distribution probability function for three categories of European banks, that is, small, medium, and large, over the post-crisis period from 2012 to 2016. Our goal was to determine whether the total capital ratio (TCR) properly reflects banks’ solvency under stress conditions. We identified a phenomenon that one can call the “crooked smile of TCR”. Medium-sized banks with relatively high TCRs performed poorly in stress tests; however, the probability of bank failure increases slightly with the size of the bank, while the TCR decreases. We claim that the focus on capital adequacy measures is not sufficient to achieve the goal of improving banks’ stability and reducing their restructuring costs. Our results are of special importance for medium-sized banks, as these banks are not regularly subjected to publicly available stress tests.


2019 ◽  
Author(s):  
Patrizia Baudino ◽  
Ryan Defina ◽  
José María Fernández Real ◽  
Kumudini Hajra ◽  
Ruth Walters

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