• DocumentCode
    2483544
  • Title

    The empirical study on fractal characteristics of real estate market

  • Author

    Fengge, Yao ; Jing, Han

  • Author_Institution
    Financial Inst., Harbin Univ. of Commerce, Harbin, China
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 2 2010
  • Firstpage
    772
  • Lastpage
    775
  • Abstract
    The traditional real estate market theories are studied within the frame of neoclassical economics. As the core of neoclassical economics, Efficient Market Hypothesis (EMH) is the foundation of real estate market theory. But the traditional linear paradigm is facing a serious challenge from non-linear paradigm. Using R/S analysis method, which is the classical algorithm of Hurst index based on fractal characteristics, this paper did simulated experiment in the real estate market of china. The result shows that there exists a complex interaction among the factors, which could affect real estate market in China. It also reveals that Efficient Market Hypothesis (EMH) is not quite in line with the realities of the real estate market, and the psychology of individual and group investors has significant influence on the real estate market. The characters of fluctuations of real estate revenue in China are non-linear, non-equilibrium, fractal and chaotic. The fluctuation is in line with Fractional Brownian motion.
  • Keywords
    fractals; real estate data processing; statistical analysis; EMH; Hurst index; R/S analysis method; classical algorithm; efficient market hypothesis; fractal characteristics; fractional Brownian motion; neoclassical economics; nonlinear paradigm; psychology; real estate revenue; traditional linear paradigm; traditional real estate market theory; Biological system modeling; Fractals; Indexes; Shape; Stock markets; Time series analysis; R/S analysis; component; fractal; real estate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Sciences and Convergence Information Technology (ICCIT), 2010 5th International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-8567-3
  • Electronic_ISBN
    978-89-88678-30-5
  • Type

    conf

  • DOI
    10.1109/ICCIT.2010.5711159
  • Filename
    5711159