Research On Real Estate Pricing Methods

Taking into account that prices of real estate at home and abroad are souring and there are some drawbacks in existing pricing methods for real estate, recent pricing situation at home and abroad is analyzed and simulations of pricing process through fuzzy neural network and game model are made. In addition, with the results from simulations obtained, some more realistic pricing methods to cope with competitive real estate market are proposed in this dissertation.In a price forming process of real estate influencing factors, such as special factors, regional factors and common factors are analyzed. Using quantitative method, regressive analysis of influencing factors said is made and results from qualitative analysis are testified. A trend of pricing of real estate is predicted using BP network, with results being sound reference for pricing and pricing management. Reasons for price souring of real estate in our country are analyzed and investigation into influence of macro-adjustment and control policy on pricing of real estate is made. It is revealed that only further improvement in the real estate market structure is made and macro-adjustment and control functions more effectively, can real estate market go smoothly.In addition, based on comparable pricing method of real estate, adaptive neural network with fuzzy inference system (ANFIS) is used to set up a pricing model of real estate, which has advantages of both fuzzy inference system and neural networks, avoiding influence of personal subjective factors on pricing and producing better pricing results.Further, new competition-oriented, customer-oriented pricing game model for real estate is set up on basis of related theories. Using static and dynamic pricing methods, simulation of pricing process of real estate market is carried out. Based on the models, individual decision of competitors in the real estate market and an equilibrium price finding process are analyzed, with investor's policies determined under Nash equilibrium condition. Furthermore, with players having incomplete information about investors of real estate, players'optimal decisions finding process is also analyzed, leading to a perfect Bayesian equilibrium.What is obtained in this dissertation is a good reference for both investors and customers to make their own decisions.