Mathematical and Analytical Models of the Market of Commercial Real Estate: Monitoring, Analysis and Projected Growth in the Context of Clusterization
- DOI
- 10.2991/aebmr.k.210210.062How to use a DOI?
- Keywords
- cluster structures, real estate market, index methods, economic and mathematical algorithm, analytical models
- Abstract
The present article is primarily aimed at developing the model for analysing and forecasting the development of the commercial real estate market. The authors have studied the existing methodology for the analysis of the real estate market and its weaknesses, and have identified the areas of further development of the models for analysing and forecasting the development of the commercial real estate market. It has been found that the assessment of the current situation in the real estate market is performed based on static and historical data, which, however, do not always provide full information. Therefore, it is advisable to use index methods as an additional data processing instrument — they empower analysis, albeit increasing its complexity. The authors have revealed that a formalized description of the procedure for building discrete spatial and parametric models of the real estate market is performed in comparison with the approaches and concepts of a related methodology —- regression modelling with continuous arguments. Additionally, the article presents the authors’ dynamic model of the real estate market for the Caucasian Mineralnye Vody region.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Elena Klochko AU - Kristina Karpenko PY - 2021 DA - 2021/02/21 TI - Mathematical and Analytical Models of the Market of Commercial Real Estate: Monitoring, Analysis and Projected Growth in the Context of Clusterization BT - Proceedings of the 6th International Conference on Economics, Management, Law and Education (EMLE 2020) PB - Atlantis Press SP - 380 EP - 386 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.210210.062 DO - 10.2991/aebmr.k.210210.062 ID - Klochko2021 ER -