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Study On Commercial Real Estate Development Property Portfolio Under The Max Investment Returns Goal

Posted on:2013-08-06Degree:MasterType:Thesis
Country:ChinaCandidate:J H NiFull Text:PDF
GTID:2249330392953899Subject:Architecture and civil engineering
Abstract/Summary:PDF Full Text Request
As the policy environment becoming tightening in the housing market of the firstand secend line city, more and more real estate enterprise set the center gravity of thecommercial real estate in the three or four line city, there is a phenomenon of blindinvestment. In a investment decision of project with a variety of property combinations,whether it is for developers or advisory body present, mostly rely on experience to distinguish, stay on "racking our brains" stage, there is no scientific solution. Now, thetheory research and development practices of commercial real estate investment isinsufficient, so the property portfolio decision-making model decision-making has apractical significance to help developers and consulting units.Firstly, the paper introduces the development and investment of commercial realestate, and the features of it, and the domestic and foreign real estate investment tospeak out the significance of investment. Followed analysis several different forms of aportfolio of real estate projects, and then, combined portfolio theory model portfolio ofreal estate projects to mean-variance decision-making model, then with the portfoliotheory to research a commercial project development decision in Mian zhu City,Sichuan Province, which determined the max the benefits of the property portfolio.Finally, correct results from the three angles of the market demand, market capacity,economic estimates.Through this research, we found that the mean-variance model can takeadvantage of the decision-making of the commercial real estate property portfolio, thenget the ideal result by several dimensions to correct conclusions, which can locate thescale portfolio.
Keywords/Search Tags:Commercial Real Estate, Portfolio, The Mean-Variance Model
PDF Full Text Request
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