The Study Of Net Real Estate And Its Early Warning Forecast System

The main purpose of this paper is establishing the real estate forewarn and the forecast system in order to resolve the existing problems in the real estate market and matain the validity of government macroscopic controls. In view of the topic characteristic, uses the literature research, compared with analytic method, and standard analysis research technique.Firstly, the article points out the research background and the significance, the research present situation of domestic and foreign, and the research technique. Then definite the real estate business in net, early warning forecasts system, index system one by one and make sure the object of the research.Secondly, analysis the real estate in our country and the present situation of Qinhangdao, analyzing the existing questions such as has not established a three-dimensional,Omni-directional,inter-dependent database, the transaction process question and the powerless supervising and managing to the market. Moreover, through the real diagnosis analysis promulgated the existing questions of Qinhangdao's real estate market and laid foundation for the solution.Thirdly, through American and our country's net real estate present situation constructs analysis the interurban difference between American and our country, analyzing the construction situation of the real estate market early warning forecast system in Qinhangdao, providing the model and reference to the construction of the real estate market early warning forecast system in Qinhangdao . This is significant to our country's real estate market management.Finally, comes up with the view that establishing the real estate information system, scientifically designing the target system, and establishing the real estate to forewarn the forecast system module. This module contains the warning forecast target system, early warning parameter, early warning criterion and police computation. In this way, building the real estate information system and the science field design index system to reflect the real estate market operation situation and guide the real estate investment and consumption correctly, and to provide scientific basis for the science decision-making.