Title :
Private Equity Investment Game Base on Fuzzy Optimization
Author_Institution :
Sch. of Econ. & Manage., Wuhan Polytech. Univ., Wuhan, China
Abstract :
This paper analyze the uncertainty impact factors and asymmetric information in the two private equity investment decision-making stages. Attributed the private equity candidate firms´ select to fuzzy optimal assessment. Build a risk-weight fuzzy optimal return model to assess the candidate firms. Get the optimal solution set. Boils down the private equity investment game to incomplete and dynamic game: signaling game. Get the combination perfect Bayesian equilibrium solution. An example is used to demonstrate the selection model and game model represent in this paper.
Keywords :
belief networks; decision making; fuzzy set theory; game theory; investment; optimisation; Bayesian equilibrium solution; dynamic game; fuzzy optimal assessment; fuzzy optimization; optimal solution set; private equity candidate firm; private equity investment decision making stage; private equity investment game; risk weight fuzzy optimal return model; signaling game; uncertainty impact factor; Bayesian methods; Companies; Computer science; Decision making; Engineering management; Game theory; Information analysis; Investments; Portfolios; Uncertainty; Fuzzy; Investment decision-making; Private equity; Signaling game;
Conference_Titel :
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3881-5
DOI :
10.1109/WCSE.2009.773