Discrete Versus Continuous Parametrization of Bank Credit Rating Systems Optimization Using Differential Evolution

2010 ◽  
Author(s):  
K. Ming Leung ◽  
Xi Zhang
2009 ◽  
Vol 3 (2) ◽  
pp. 11-34 ◽  
Author(s):  
Radu Neagu ◽  
Sean Keenan ◽  
Kete Chalermkraivuth

2020 ◽  
pp. 275-348
Author(s):  
Terence M. Yhip ◽  
Bijan M. D. Alagheband

Author(s):  
Patrycja Chodnicka-Jaworska

The aim of the paper is verification of the following hypothesis the share prices of banks have stronger reaction to bank credit rating announcements changes for a downgrade, both in developed and developing economies. The analysis(event study method) has been based on data from Thomson Reuters for the years 1980-2015 for 24 countries. Outlooks and watch lists proposed by all credit rating agencies have been used as an independent variable. Daily differences between the logarithmized rates of return of banks' shares have been used as dependent variable.


2021 ◽  
Vol 12 (5) ◽  
pp. 41
Author(s):  
Emna Damak

The purpose of this article is to study empirically the bank credit risk rating (BCRR) process over time using 89 banks from 27 EMENA countries rated by S&P’s simultaneously before and after 2007-09 crises. We made this comparison based on the CAMELS model with a proposed ‘S’ to BCRR. We use "ordered logit" regression for the rating classes and we complete our analysis by “linear multiple” regression for the rating grades. The results show that the rating changes in 2012 are mainly a methodology revision consequence of the entire rating process changes, including the weight of components, the important factors and the relevant variables in order to take into account some of the lessons learned from this global crisis. They also show a consistence between the BCRR's revealed and practiced methodologies revised by the credit rating agencies (CRAs).


Author(s):  
Chia-Hsiang Chang ◽  
Wei-Chen Liou ◽  
William W.Y. Hsu ◽  
Jen-Ying Shih ◽  
Chung-Su Wu ◽  
...  
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