Development of a mathematical model for analyzing and forecasting the conjuncture of the Russian real estate market
Автор: Melnikova Yu.V., Lazhauninkas Yu.V.
Журнал: Вестник Алтайской академии экономики и права @vestnik-aael
Рубрика: Экономические науки
Статья в выпуске: 3-1, 2022 года.
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The construction industry is rightfully considered one of the main drivers of the Russian economy - it accounts for 1.6 trillion rubles in taxes and 6.2 million employed. The study of the real estate market allows you to find out the marketing situation on the market and reduce the degree of uncertainty in the process of implementing short-term forecasts. The results of studying the real estate market conditions are intended for making decisions on buying or renting real estate objects in the context of local segments of the real estate market. In this article, the authors conducted research on key financial and economic indicators of the real estate market in Russia and substantiated the trends of its further development. On the basis of multiple regression analysis, the current economic situation in the market is studied, characterized by the levels of supply and demand, market activity, prices, sales volumes. The analysis allowed the authors to build mathematical models of the dynamics of the main indicators and predict them in the short term.
Market, dynamics, model, trend, forecast, price, inflation, indicator
Короткий адрес: https://sciup.org/142231808
IDR: 142231808 | DOI: 10.17513/vaael.2100