DocumentCode :
483280
Title :
Study on Commercial Banks Credit Risk Based on AGA and Camel Rating System
Author :
Yang, Shaomei ; Zhao, Junyan
Author_Institution :
Econ. & Manage. Dept., North China Electr. Power Univ. Baoding City, Baoding
fYear :
2009
fDate :
23-25 Jan. 2009
Firstpage :
562
Lastpage :
565
Abstract :
The commercial banks risks come from all the uncertainty of the banking business, which have diffusibility and hidden features, if not timely controlled, will have a negative impact on the national economy. Therefore, it is necessary to design the corresponding index system according to the objectivity and relativity of the banking risks, and then control quantitatively the banks risk. Based on the analysis of commercial banks risk management situation and existing problems, this paper establishes a commercial banks credit risk evaluation index system with the camel rating thinking, and then describes AGA evaluation mechanism. In this paper, Hebei commercial bank credit risk evaluation index data as the network operator samples, we evaluated four commercial banks´ credit risk in Beijing; the example results show that the modelpsilas commonality is very good.
Keywords :
banking; genetic algorithms; gradient methods; risk management; search problems; Hebei commercial bank credit; adaptive genetic algorithm; bank credit risk evaluation index data; banking business; camel rating system; global search ability; gradient drop method; national economy; network operator sample; risk management; Banking; Business; Cities and towns; Control systems; Data mining; Power generation economics; Power system economics; Risk analysis; Risk management; Uncertainty; AGA; camel rating system; commercial banks; credit risk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
Type :
conf
DOI :
10.1109/WKDD.2009.62
Filename :
4771999
Link To Document :
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