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Study On Real Estate Early-warning System Of Chengdu

Posted on:2009-03-08Degree:MasterType:Thesis
Country:ChinaCandidate:Z Q FeiFull Text:PDF
GTID:2189360242985368Subject:Human Geography
Abstract/Summary:PDF Full Text Request
Real estate, which is highly related and has strong force to other trade economy, has already become the pillar of our national economy. In recent years, because the increase of investment was too fast in some areas, the land supply was excessive, the price rose rapidly, some abnormal phenomena such as "overheated" "abnormal heat" and "structural problem" appeared in some degree and serious risk existed in real estate market. For the reasons above, it's important theoretical and practical significance to set up the early-warning systerm of real estate.There are two parts that compose this thesis: the discussion on the methods of the real estate early-warning system; the establishment and operation of Chengdu real estate early-warning system. The discussion on method contains: at the index setting step, on the basis of analyzing the conceptions, theories and models that could be used, indexes are selected not only based on the objectives of the evaluation system, principles to choose indexes, meaning of the indexes but also by comparing different kinds of indexes; at the index weight setting step, the thesis combine factor analysis with Time Difference Relevance Analysis and Principal Component Analysis; at the index early-warning critical point setting step, the method of 3δis used to set up the standards that is intend to evaluate the market of real estate; Finally, the evaluation system is founded. Based on the methods above, the thesis establishes the Chengdu real estate early-warning system, operates the system by using the market information of Chengdu real estate, gives pre-warnings of 2007 and 2008 of real estate market in Chengdu and corresponding suggestions.
Keywords/Search Tags:Market of Real Estate, System of Index, Time Difference Relevance Analysis, Principal Component Analysis, Predictability
PDF Full Text Request
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