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Centipede Game network model of investment in real estate market based on grey integration and forwards induction

Centipede Game network model of investment in real estate market based on grey integration and... Purpose – The purpose of this paper is to attempt the construct of a Centipede Game network model of investment in real estate market based on grey integration and forwards induction. Design/methodology/approach – The investment process of decision making in the real estate market is a multi‐agent‐stage dynamic process. The behavior of the game are interdependent and the ultimated equilibrium is an outcome of every the game adjust themselves comprehensively in certain conditions. The paper constructs a Centipede Game network model of investment in real estate market based on grey integration and forwards induction, regulars the method framework based on grey integration and forwards induction. Findings – The results verifies that the validity of Centipede Game network model by taking N's real estate market as an example. Practical implications – Most of the existing real estate market game researches study it from the view of pairwise game or one‐to‐many game, in fact, the game tend to be developed in the form of a network. And the paper puts forward Centipede Game network model based on the mode of players game in real estate market. Originality/value – The paper succeeds in providing a new and systematic framework of studying the real estate market game by using game theory. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Grey Systems Theory and Application Emerald Publishing

Centipede Game network model of investment in real estate market based on grey integration and forwards induction

Lulu Shui
Grey Systems Theory and Application , Volume 4 (2): 7 – Jul 29, 2014
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References (8)

Publisher
Emerald Publishing
Copyright
Copyright © 2014 Emerald Group Publishing Limited. All rights reserved.
ISSN
2043-9377
DOI
10.1108/GS-04-2014-0012
Publisher site
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Abstract

Purpose – The purpose of this paper is to attempt the construct of a Centipede Game network model of investment in real estate market based on grey integration and forwards induction. Design/methodology/approach – The investment process of decision making in the real estate market is a multi‐agent‐stage dynamic process. The behavior of the game are interdependent and the ultimated equilibrium is an outcome of every the game adjust themselves comprehensively in certain conditions. The paper constructs a Centipede Game network model of investment in real estate market based on grey integration and forwards induction, regulars the method framework based on grey integration and forwards induction. Findings – The results verifies that the validity of Centipede Game network model by taking N's real estate market as an example. Practical implications – Most of the existing real estate market game researches study it from the view of pairwise game or one‐to‐many game, in fact, the game tend to be developed in the form of a network. And the paper puts forward Centipede Game network model based on the mode of players game in real estate market. Originality/value – The paper succeeds in providing a new and systematic framework of studying the real estate market game by using game theory.

Journal

Grey Systems Theory and Application – Emerald Publishing

Published: Jul 29, 2014

Keywords: Practical applications of grey models; Grey Game model

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