DocumentCode
1841145
Title
Game theory analysis on listed company´s credit behavior
Author
Hou Jie
Author_Institution
Bus. Sch., Hunan Int. Econ. Univ., Changsha, China
Volume
1
fYear
2011
fDate
13-15 May 2011
Firstpage
360
Lastpage
364
Abstract
The credit of the listed company has been a hot issue. In this paper, dynamic games of incomplete information was used to explain the credit problems of listed companies. Using the KMRW reputation model, draw the following conclusions: As to the high information costs investors, they tend to uncooperative with the listed company with the condition of certain constraints and enough times of repeated game, while for the low information on the cost of investors, listed companies choose to comply with commitments, investors continue to invest, it is a “perfect Bayesian equilibrium”.
Keywords
Bayes methods; finance; game theory; KMRW reputation model; credit behavior; credit problems; game theory analysis; listed company; perfect Bayesian equilibrium; repeated game; Analytical models; Bayesian methods; Companies; Games; Investments; Law; Stock markets; game analysis; listed companies credit; perfect Bayesian equilibrium;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-61284-108-3
Type
conf
DOI
10.1109/ICBMEI.2011.5916948
Filename
5916948
Link To Document