DocumentCode :
3166507
Title :
Evolutionary game analysis of Bank Credit Retreat
Author :
Song, Min ; Wang, Zhehua ; Ma, Chao ; Li, Huiying
Author_Institution :
Bus. Sch., Hohai Univ., Nanjing, China
fYear :
2010
fDate :
29-30 Oct. 2010
Firstpage :
499
Lastpage :
504
Abstract :
At the beginning, this paper gives a brief interpretation of the concept of bank credit retreat and the current research status of this issue in the world. Based on the research of adverse selection and moral hazard problems between banks and enterprises, this paper presented the concept of bounded rationality and established the evolutionary game framework of Bank Credit Retreat. Given the replication dynamic analysis and the stable point analysis of the evolutionary game model, the evolutionary stable strategy has been given from the perspective of parameter analysis. The conclusion that due to information asymmetry between banks and enterprises the two players of the game can not reach an evolutionary stable strategy (ESS) has been obtained. During the process of bank credit retreat and considering the effective prevention of adverse selection of banks and moral hazard of enterprises, the selection and verification cost of the banks, the penalty cost when the “dishonest” corporate is checked and the loss of reputation are the factors affecting evolutionary stable strategy.
Keywords :
banking; evolutionary computation; game theory; bank credit retreat; evolutionary game analysis; evolutionary game model; evolutionary stable strategy; moral hazard problems; replication dynamic analysis; stable point analysis; Games; commercial banks; credit retreat; evolutionary game; information asymmetry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
Type :
conf
DOI :
10.1109/ICAIE.2010.5640965
Filename :
5640965
Link To Document :
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