An equilibrium analysis of the impact of real estate price volatility on macroeconomics based on ant colony algorithm

In view of the large subjective arbitrariness of traditional real estate appraisal methods, through analysis of the advantages and disadvantages of the least square support vector machine (LS-SVM) model for real estate appraisal, the use of ant colony algorithm is proposed for the parameter selection problem (ACO) is optimized, and a real estate valuation model based on ant colony algorithm optimization least square support vector machine (ACO-LS-SVM) is established after integration. On this basis, in order to study the impact of real estate price fluctuations on the macroeconomic equilibrium, this paper studies the impact of real estate price fluctuations on my country’s macroeconomic and sectoral economies by constructing a computable general equilibrium model. The main findings are as follows: the output of various industries and the direction of changes in real estate prices are consistent, but industries such as heavy industry, extractive industries, and real estate are relatively affected; the rise and fall of real estate prices have caused the income of all residents to decline, but each income The impacts on urban residents of different ranks are not the same, and the incomes of the government and enterprises are in the same direction as the changes in real estate prices. The efficiency of the predicted price of real estate appraisal technique is 4.08% and the average relative error is 1.78%. On the whole, the increase in real estate prices has a greater driving effect on economic growth, but the negative impact of a price drop of the same magnitude is greater.