DocumentCode :
2138703
Title :
A Survey for Real Estate Early Warning Methods
Author :
He, Li-Heng ; Bao, Qi-Sheng ; Wang, Qing
Author_Institution :
Coll. of Geogr. & Ocean Sci., Nanjing Univ., Nanjing, China
fYear :
2010
fDate :
24-26 Aug. 2010
Firstpage :
1
Lastpage :
6
Abstract :
Based on the early warning theory of the real estate and divided by the science classification, presently used real estate early warning methods are generalized as the business cycle & quantitative statistic method, econometric method and non-linearity & systems approach. And the business cycle analysis, pattern recognition, ARCH, Hedonic, ANN, SWARM methods are summarized. The results show that mathematical statistic method stresses in quantitative relation of indices. Econometric model emphasizes the economical relationship of indices. And system approach focus on the overall impact of individual activities. Therefore all methods should be applied synthetically.
Keywords :
economic cycles; economic forecasting; neural nets; pattern recognition; real estate data processing; statistical analysis; ANN method; ARCH method; Hedonic method; SWARM method; business cycle; business cycle analysis; early warning theory; econometric method; mathematical statistic method; nonlinearity approach; pattern recognition; quantitative statistic method; real estate early warning method; system approach; Alarm systems; Analytical models; Biological system modeling; Economics; Indexes; Object oriented modeling; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
Type :
conf
DOI :
10.1109/ICMSS.2010.5575771
Filename :
5575771
Link To Document :
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