• DocumentCode
    2931013
  • Title

    Investment bubble formation mechanism of Centipede Game based on grey integration and forwards induction

  • Author

    Fang Zhigeng ; Shui Lulu

  • Author_Institution
    Sch. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2013
  • fDate
    15-17 Nov. 2013
  • Firstpage
    354
  • Lastpage
    358
  • Abstract
    The investment process of decision-making in the economical system is a multi-agent-stage dynamic process, and bubble is generated, until it burst in the game among various economic entities. The paper constructs a Centipede Game network model of investment equilibrium-adjusted based on grey integration and forwards induction, and regulars the method framework based on grey integration and forwards induction; analyzing the formation mechanism of the bubble and invoking the concept system of Centipede Game network model, the paper divides the bubbles to integral bubble, structural bubble and frictional bubble according to the characteristics of bubble generation process; and verifies the validity of the model by taking Nanjing´s real estate market as an example.
  • Keywords
    game theory; grey systems; investment; network theory (graphs); Nanjing; bubble generation process; centipede game network model; decision making; economic entities; economical system; forwards induction; frictional bubble; grey integration; integral bubble; investment bubble formation mechanism; investment equilibrium-adjustment; multiagent-stage dynamic process; real estate market; structural bubble; Analytical models; Economic indicators; Educational institutions; Games; Investment; Nash equilibrium; Centipede Game; Nash equilibrium; grey integration; investment bubble;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2013 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2166-9430
  • Print_ISBN
    978-1-4673-5247-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2013.6714807
  • Filename
    6714807