Commodity Pricing Analysis Of Residential Projects

The current domestic real estate market is still in a state of imbalance and faces the inflation pressure, to deal with these problems, the government adopted a series of macro-control policies to strengthen market supervision in2011. Price of real estate becomes the focus of society once again. With the development of our national economy and the improvement of the market mechanism, the real estate price tends to be more rational. Price forecasting of real estate made through scientific method will have an important reference value to all sectors of the community.The article researches from the following three aspects:the price formation mechanism of commercial housing; the analysis on dynamic factors which exert influence on the price positioning of residential commodity; the founding of price forecasting model of commercial housing.First, as a special commodity, the price of real estate is affected not only by some internal factor, such as the project cost, but also affected by some external environmental dynamic factors. Various factors affect the price of real estate through the regulation of the supply and demand of market. Secondly, grey system theory mainly studies the uncertainty of "less data","poor information". It aims to monitor the running of the system, the evolution law effectively through production, development, extraction of valuable information on the basis of limited known information. Price positioning of residential commodity conforms to the gray system, therefore, the grey system can be adopted under such circumstance. Thirdly, we can obtain the gray econometric model of commodity housing and test its accuracy after analyzing the factors that affect the price of commercial housing, extracting some historical data, using gray correlation analysis, finding out the main influencing factors and getting thevalue of simulation by establishing forecasting models of various factors on the basis of GM model.This article takes commodity housing of Chengdu as an example, establishing the gray econometric model by taking the data that influences the real estate price of Chengdu from2006to2010. And at the same time, the author tests the feasibility of the method.