Voronina E.V., Yarosh O.B., Bereza N.V., Rossinskaya M.V. THE MATHEMATICAL MODEL OF FORECASTING THE PRICE LEVEL IN THE REGIONAL MARKET OF RESIDENTIAL REAL ESTATE

DOI: https://doi.org/10.15688/jvolsu3.2019.1.4

Ekaterina V. Voronina

Candidate for a Degree, Department of Marketing, Trading and Customs Business, Institute of Economics and Management, Crimean Federal University named after V.I. Vernadsky, Sevastopolskaya St., 21/4, 295015 Simferopol, Russian Federation; Postgraduate Student, Department of Intelligent Electrical Networks, Don State Technical University, Gagarina Sq., 1, 344000 Rostov-on-Don, Russian Federation, This email address is being protected from spambots. You need JavaScript enabled to view it. , https://orcid.org/0000-0001-6308-0675


Olga B. Yarosh

Doctor of Sciences (Economics), Associate Professor, Professor of Department of Marketing, Trading and Customs Business, Institute of Economics and Management, Crimean Federal University named after V.I. Vernadsky, Sevastopolskaya St., 21/4, 295015 Simferopol, Russian Federation,  This email address is being protected from spambots. You need JavaScript enabled to view it. , https://orcid.org/0000-0001-9663-2528

Natalya V. Bereza

Candidate of Sciences (Economics), Associate Professor of Department of Information Systems and Radio Engineering, Institute of the Service Sector and Entrepreneurship (Branch) of Don State Technical University, Shevchenko St., 147, 346500 Shakhty, Russian Federation,  This email address is being protected from spambots. You need JavaScript enabled to view it. , https://orcid.org/0000-0002-0820-7669

Marina V. Rossinskaya

Doctor of Sciences (Economics), Professor of Department of Economics and Management, Sochi State University, Sovetskaya St., 26a, 354000 Sochi, Russian Federation,  This email address is being protected from spambots. You need JavaScript enabled to view it. , https://orcid.org/0000-0001-6190-5434


 

Abstract. The purpose of this article is to develop a mathematical model for estimating the value of a real estate object, taking into account the trends in the residential real estate market using indicators of the object’s state and indicators of the real estate market. The real estate market is a complex mechanism that includes subjects, objects, processes and infrastructure. The real estate market has its own characteristics that distinguish it from the market of goods and services related to the duality of real estate, its special characteristics. Despite the high conservatism, there are certain innovative trends in the development of the residential real estate market (innovations in construction, architecture, services and marketing, logistics, customer focus).
The article considers the residential real estate market as a complex socio-technical system, to predict the development of which it is advisable to use a combination of classical forecasting methods and soft computing or intelligent data processing methods. A forecast of the development of the residential real estate services market was made using foresight technologies (industry roadmap). The analysis was carried out and the main factors acting on the market were identified, and their influence on the development of market trends was determined. A mathematical model for predicting the value of residential real estate based on the theory of fuzzy sets has been developed.

Key words: services, services sector, real estate market, residential real estate, forecasting, roadmap, mathematical model, the state of a real estate object, the state of real estate market.

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THE MATHEMATICAL MODEL OF FORECASTING THE PRICE LEVEL IN THE REGIONAL MARKET OF RESIDENTIAL REAL ESTATE by Voronina E.V., Yarosh O.B., Bereza N.V., Rossinskaya M.V. is licensed under a Creative Commons Attribution 4.0 International License.

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