A method suitable for commercial house demand analysis
A demand analysis, commodity technology, applied in business, data processing applications, instruments, etc., can solve the problem of not establishing and perfecting customer purchase demand evaluation and other problems
Inactive Publication Date: 2019-12-20
成都美吉房地产营销策划有限公司
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Problems solved by technology
[0002] Real estate developers have not established a complete evaluation of customer purchase demand in terms of predicting purchase demand for commercial housing, and then conduct extensive investment management and games. Therefore, an indicator that can quantify housing purchase demand is needed to help later choose investment periods and investment Guidance on house type, building area, etc.
Method used
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Experimental program
Comparison scheme
Effect test
Embodiment
[0024] The present invention is applicable to the method for demand analysis of commodity house, comprises the following steps:
[0025] Step 1, count the total population A of the area where the real estate is located;
[0026] Step 2, investigate the per capita disposable income data variable B;
[0027] Step 3, query the regional gross product data variable C;
[0028] Step 4. Calculate the price D of the area where the real estate is located. Through the real estate intermediary website, combine the data variables of the past 3 years according to the curve fitting theory and predict the future investment period;
[0029] Step 5, query the bank loan interest rate E;
[0030] Step 6, estimate the inflation rate F;
[0031] Step 7, perform multicollinearity test on the data variables A, B, C, D, E, and F, remove variables with high correlation, and form the remaining variables into a sequence;
[0032] Step 8, checking the stationarity and randomness of the sequence, and ...
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The invention discloses a method suitable for commercial house demand analysis, and relates to a real estate house purchase demand analysis method, which comprises the following steps: 1, counting thepopulation A of an area where real estate is located; 2, investigating a per capita dominable income data variable B; 3, querying a regional production total value data variable C; 4, counting the price D of the area where the real estate is located; 5, querying a bank loan interest rate E; step 6, estimating a general expansion rate F; step 7, performing multiple colinearity tests on the data variables A, B, C, D, E and F; step 8, checking the stability and randomness of the sequence, and obtaining a prediction model through neural network training; and 9, writing a purchase demand report. According to the invention, a real estate developer can be helped to obtain accurate and quantitative house purchase demand indexes, and a theoretical basis can be provided for later house type configuration, pricing, building area and the like.
Description
technical field [0001] The invention relates to a demand analysis method for real estate purchases, in particular to a method applicable to the analysis of demand for commercial housing. Background technique [0002] Real estate developers have not established a complete evaluation of customer purchase demand in terms of predicting purchase demand for commercial housing, and then conduct extensive investment management and games. Therefore, an indicator that can quantify housing purchase demand is needed to help later choose investment periods and investment House type, building area, etc. to make guidance. Contents of the invention [0003] The technical problem to be solved by the present invention is that real estate developers have not established a perfect customer purchase demand evaluation for the forecast purchase demand of commercial housing, and then carry out extensive investment management and game. method to solve the above problems. [0004] The present inv...
Claims
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IPC IPC(8): G06Q30/02G06Q50/16
CPCG06Q30/0201G06Q30/0202G06Q50/16
Inventor 徐桥
Owner 成都美吉房地产营销策划有限公司