Abstract

The article summarizes the arguments and counterarguments within the scientific discussion on pricing in the real estate market in Ukraine during the crisis. The main purpose of the study is to simulate real estate pricing during the crisis. The systematization of literary sources and approaches to solving the problem of simulation of pricing in the real estate market during the crisis has shown that the real estate market in modern conditions fluctuates and depends on many factors. This market is quite dynamic and constantly evolving. At the same time, the issue of pricing in the real estate market significantly depends on a system of factors, in particular, market dynamics, location of real estate, exchange rate, development of environmental infrastructure, construction stage, reliability of the developer, etc. The influence of these factors on the process of simulation of pricing in the real estate market in Ukraine is determined. The urgency of this scientific problem is due to the fact that macroeconomic instability in Ukraine in the face of inflation and devaluation has a negative impact on the overall economic situation and, consequently, leads to a dynamic negative change in real estate value, so it is important to determine the features of simulation of the real estate pricing in a crisis. The study of simulation of the real estate pricing during the crisis in the article is carried out in the following logical sequence: determination of the current state of the real estate market in Ukraine, substantiation of factors and their impact on real estate pricing simulation in a crisis. As part of the study of the simulation of the real estate pricing in a crisis, we have used the following general scientific methods: analysis, synthesis, induction, deduction, generalization, systematization, mathematical analysis, statistical analysis, and have chosen 2010–2018 as the study period. The evaluation of models when evaluating the real estate market in Ukraine is the object of the study. Pricing in the real estate market in the crisis is the subject of the study. The practical value of the work is due to the fact that its results can be used to improve the quality and efficiency of valuation activities during property valuation (on the example of the residential real estate market) in Ukraine. In the future, it will be relevant to study the features of the use of economic and mathematical models to optimize the simulation of pricing in the real estate market of Ukraine.

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