• 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