Determination of weights for an optimal credit rating model based on default and nondefault distance maximization

Author(s):  
Guotai Chi ◽  
Kunpeng Yuan ◽  
Ying Zhou ◽  
Lingling Gong
2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Baofeng Shi ◽  
Bin Meng ◽  
Jing Wang

This paper introduces a novel decision assessment method which is suitable for customers’ credit risk evaluation and credit decision. First of all, the paper creates an optimal credit rating model, and it consisted of an objective function and two constraint conditions. The first constraint condition of the strictly increasing LGDs eliminates the unreasonable phenomenon that the higher the credit rating is, the higher the LGD (loss given default) is. Secondly, on the basis of the credit rating results, a credit decision-making assessment model based on measuring the acceptable maximum LGD of commercial banks is established. Thirdly, empirical results using the data on 2817 farmers’ microfinance of a Chinese commercial bank suggest that the proposed approach can accurately find out the good customers from all the loan applications. Moreover, our approach contributes to providing a reference for decision assessment of customers in other commercial banks in the world.


2011 ◽  
Vol 15 (2) ◽  
pp. 237-250 ◽  
Author(s):  
Ning Chen ◽  
Armando Vieira ◽  
Bernardete Ribeiro ◽  
João Duarte ◽  
João Neves

2009 ◽  
Vol 277 (2) ◽  
pp. 96-106 ◽  
Author(s):  
E. Kriesten ◽  
M.A. Voda ◽  
A. Bardow ◽  
V. Göke ◽  
F. Casanova ◽  
...  

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