CHARACTERISTICS OF MATHEMATICAL METHODS AND MODELS FOR REAL ESTATE MARKET ANALYSIS

The relevance of the research topic lies in the fact that permanent changes occurring in the real estate market, caused by internal transformation processes, external factors and the consequences of the Russian Federation's aggression, are determined by regional asymmetries, a decrease in the value of real estate in front-line regions. In addition, certain features arise in the field of real estate valuation, especially in the context of damaged objects and ensuring their reconstruction. The research has achieved the goal of determining the directions and characteristics of methods and models of mathematical modeling used for analyzing the real estate market. In the context of the specified goal, the following tasks have been solved: formation of directions of mathematical modeling used for analyzing the real estate market; justification of mathematical modeling models; characteristics of criteria used in mathematical modeling for analyzing the real estate market. The proposed directions of mathematical modeling used for analyzing the real estate market: formation of information and analytical support for mathematical modeling of factors affecting the formation and functioning of the real estate market; identification of the presented factors; development of a correlation matrix, which is characterized by pairwise correlation coefficients and indicates the mutual influence of factors; determination of indicators of variation of variables; construction of mathematical models of factors that influence the formation and functioning of the real estate market; determination of criteria for the adequacy of mathematical models; interpretation of the results obtained.The study proposes the use of mathematical modeling methods and models that provide an opportunity to form a quantitative basis for decision-making in the real estate market. They allow improving assessment procedures and obtaining results for further forecasting and developing scientifically based recommendations to increase the efficiency of using land and property complex objects.