Open AccessInformation system of economic and mathematical modelling of pricing in the residential sector of Ukraine
Author(s) -
Varvara Chernenko,
Viktor Lyashenko,
Tetiana А. Vakaliuk,
Лариса Шевчук,
Ya V Slon
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1840/1/012025
Subject(s) - real estate , ukrainian , computer science , econometrics , value (mathematics) , operations research , economics , finance , engineering , machine learning , linguistics , philosophy
The article deals with the development of a web application on forecasting the dynamics of prices in the residential sector of Ukraine. The classification of economic forecasting methods according to which they are divided into formalized, extrapolated, intuitive methods of forecasting the financial state is presented. It has been established that forecasting methods should meet the following requirements: a combination of subjective value and objective significance of estimates; clear application of estimates, which does not allow different interpretations regarding the choice of methods; create the ability to accumulate statistical information and use it for forecasting. The model of standard square collocation for the real estate market is presented. A web-based application for forecasting the dynamics of prices in the Ukrainian housing sector was developed and tested.