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 Smart Investments in Real Estate: Analysis and Software Solutions Kobzan S. M., Pomortseva О. Y., Pita Y. A.
Kobzan, Sergiy M., Pomortseva, Оlena Ye., and Pita, Yurii A. (2025) “Smart Investments in Real Estate: Analysis and Software Solutions.” Business Inform 5:214–221. https://doi.org/10.32983/2222-4459-2025-5-214-221
Section: Investment Processes
Article is written in UkrainianDownloads/views: 0 | Download article (pdf) -  |
UDC 332.431.84:004.715.5
Abstract: This article addresses the current issue of the peculiarities of investing in the Ukrainian real estate market. The subject of the research is the unstable real estate market at present. The aim of the article is to analyze the changes in the real estate market over the past year and track trends in both the primary and secondary markets. The article emphasizes the need to combine financial analysis methods with location analysis methods. This allows for a more accurate assessment of issues related to investment. The objective of the article is to study the peculiarities of investing in the real estate market under current conditions, analyze approaches to studying market conditions and individual investment objects, and different income generation strategies. The incorporation of a spatial component for analysis and the use of geospatial databases and software components in the form of geoportals will save time and facilitate the development of more sophisticated investment strategies. The authors highlight the risks associated with investments in residential real estate construction, as well as the main factors that can influence the profitability of investments. Promising directions for investment in the real estate market were also thoroughly examined. The distribution of investments in real estate was divided into five key areas, each characterized by its own features, levels of risk, and prospects for profitability. During the study, a scheme for investment pathways in real estate was developed based on the stakeholder’s capabilities and the real estate market (primary or secondary). General scientific approaches to systemic analysis, as well as geostatistical methods, were applied in the research, which allowed for the transformation of data from a discrete format to a continuous representation for further processing. The results obtained may be practically useful for stakeholders when forming an investment strategy in the real estate market. They promote a deeper understanding of market conditions and current trends, as well as assist in adapting investment strategies considering the specifics of individual market segments and the opportunities of different categories of investors.
Keywords: real estate market, geoinformation system, geodatabase, flipping, development.
Fig.: 2. Bibl.: 12.
Kobzan Sergiy M. – Candidate of Sciences (Engineering), Associate Professor, Associate Professor, Department of Land Administration and Geographic Information Systems, O. M. Beketov National University of Urban Economy in Kharkiv (17 Chornohlazivska Str., Kharkіv, 61002, Ukraine) Email: s.ко[email protected] Pomortseva Оlena Ye. – Candidate of Sciences (Engineering), Associate Professor, Associate Professor, Department of Economic Cybernetics and Applied Economics, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine) Email: [email protected] Pita Yurii A. – Postgraduate Student, Department of Economics and Finance, University of Economics and Law «KROK» (30-32 Tabirna Str., Kyiv, 03113, Ukraine) Email: [email protected]
List of references in article
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Anelli, D., and Tajani, F. “Spatial decision support systems for effective ex-ante risk evaluation: An innovative model for improving the real estate redevelopment processes“. Land Use Policy., art. 106595, vol. 128 (2023). DOI: https://doi.org/10.1016/j.landusepol.2023.106595
Pomortseva, O. Ye. et al. “Doslidzhennia dynamiky zminy vartosti nerukhomosti za dopomohoiu heoinformatsiinykh system“ [Research of the Impact of Vernacular Areason Sustainable Development of Urban Territories]. Prostorovyi rozvytok, no. 8 (2024): 463-476. DOI: 10.32347/2786-7269.2024.8.463-476
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De Paola, P. et al. “A model to define a real estate investment risk index for the administrative municipalities of Naples“. Procedia Structural Integrity, vol. 64 (2024): 1696-1703. DOI: https://doi.org/10.1016/j.prostr.2024.09.424
Wu, Y., Heerink, N., and Yu, L. “Beyond the collateral channel: Real estate prices and manufacturing firm investment in China“. International Review of Economics & Finance, art. 103352, vol. 94 (2024). DOI: https://doi.org/10.1016/j.iref.2024.05.031
Fateye, T. B., Peiser, R. B., and Ajayi, C. A. “Behavioral factors influencing investment decision-making in the Nigerian real estate stock market“. Scientific African, art. e02238, no. 24 (2024). DOI: https://doi.org/10.1016/j.sciaf.2024.e02238
Kobzan, S., and Pomortseva, O. “Real Estate Market: Trends and Developments“. In Real Estate Market of Ukraine: Practical Aspects and Trends, 7-48. Cham: Springer Nature Switzerland, 2023. DOI: https://doi.org/10.1007/978-3-031-31248-9_2
[Legal Act of Ukraine] (2024). https://zakon.rada.gov.ua/go/4015-20#Text
[Legal Act of Ukraine] (2022). https://zakon.rada.gov.ua/go/2600-20#Text
“Statystyka nerukhomosti“ [Real Estate Statistics]. Sait «LUN». https://lun.ua/kyiv?srsltid=AfmBOord4uwUDWqWx5McCz_IMbgbXtn4JgSi-Iz4AcpkM4-MCbnjOyxx
“Heoportal nerukhomosti“ [Real Estate Geoportal]. Sait «Uvekon». https://gisuvecon.com/main/geoportal/
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