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
Link To Document :
بازگشت