scholarly journals Marketing analysis of the residential real estate sector as a tool to plan the development of transport infrastructure

2018 ◽  
Vol 239 ◽  
pp. 08016
Author(s):  
Yaroslav Lavrinenko ◽  
Victoria Tinyakova ◽  
Larisa Shishkina

Current methods for analyzing the residential real estate market have certain disadvantages. First of all, they are related to the heterogeneity of the market due to geographical differences. Secondly, it is various approaches to analyze the real estate sector. The real estate market is often analyzed only from the point of statistics and macroeconomic phenomena, without taking into account marketing components. However, effective analytics of the real estate sector should include marketing analysis. This analysis helps to understand the preferences and trends of past and current customers, specifically favored price. A forecast of future trends in real estate is created on the basis of this analysis. The authors suggested methodological approaches to analyzing the residential real estate sector with the use of marketing analysis.

Author(s):  
Ekaterina Voronina ◽  
Olga Yarosh ◽  
Natalya Bereza ◽  
Marina Rossinskaya

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.


2022 ◽  
Vol 18 ◽  
pp. 226-231
Author(s):  
M. Locurcio ◽  
F. Tajani ◽  
P. Morano ◽  
F. Di Liddo ◽  
D. Anelli

In the current historical moment of post-crisis recovery, the real estate sector has a dual role: i) through the construction industry and its impacts on related economic sectors, it is called upon to be an active part of the economic recovery; ii) the enhancement of existing property assets is of primary importance in the containment of greenhouse gases and the achievement of the objectives set by the United Nations [1]. In this context, the various players involved in the real estate market have outlined the importance of being supported by assessment methodologies. That allows to point out not only the opportunities of the investment, but also the risks that may invalidate the initial forecasts, nullifying the success of the initiative. To this end, this research develops a multi-criteria Key Performance Indicator aimed at analyzing the feasibility of real estate initiatives that allows to provide a synthetic scoring on the financial sustainability of each investment and to compare different types of initiatives (e.g. new construction, demolition and reconstruction, renovation, etc.).


2020 ◽  
Vol 17 (4) ◽  
pp. 44-54
Author(s):  
M. B. Laskin ◽  
P. A. Cherkesova

The aim of the research is to develop theoretical and methodological approaches to market value forecasting in the real estate market. The relevance of the research is determined by the system-forming place that the real estate market occupies in the economy of the country and regions, affecting the interests of owners of various forms of ownership, construction and development companies, insurance companies, banks. Another aspect that determines the actuality of the study is the discrepancy between well-structured cadastral databases and market data dispersed between different owners of information resources, and the unstructured nature of market data, which in most cases is focused on advertising, rather than on analytical market research.Materials and methods. The study uses a model of a multidimensional logarithmically normal distribution law of the ensemble of prices for residential real estate at equidistant points of time and cadastral value, the ARIMA model for predicting market value, taking into account the features of the logarithmically normal distribution of prices, as a distribution with positive asymmetry. As a statistical material, we used market data on residential real estate published in the periodical press in the period from the end of 2012 to 2018. The volume of samples of weekly publications is 15000-20000 objects; data for 21 quarters (more than five years) was used. As a comparison base, we used data from cadastral registration of real estate objects in Saint Petersburg for 2018. The total volume of the cadastral database of residential real estate in Saint Petersburg (individual apartments) is 2 226734 objects with a fairly complete (and well-structured) set of price-forming factors. The authors propose a method for estimating the most likely movement of the market value for a pre-selected real estate object that has passed cadastral registration and has a cadastral value entered in the register and predicting the market value in the future period.Results. The theoretical significance of the work is the proposed algorithm for estimating the most probable trajectory of the market value of the investigated object, based on the conditional multivariate log-normal distribution for a given value of the cadastral value. A well-developed and studied ARIMA time series forecasting model is applied to the logarithms of the obtained time series, the return from logarithmic prices to real prices is carried out taking into account the peculiarities of the logarithmically normal distribution. Results are compared with median scores and estimates, obtained by average values.Conclusion. The paper shows that the introduction of cadastral value in the Russian Federation opens up new opportunities for analyzing and forecasting market prices, since cadastral databases contain the most complete lists of real estate objects, including the cadastral value, which now, in accordance with the law, must be updated at least once every three years and, as of 2015 and 2018, was determined as the market value, therefore, until the next cadastral assessment, can serve as a basis for constant comparison with market data, which are constantly changing, primarily in the composition of objects.


Author(s):  
Boris Bedin

The housing problem is relevant for many countries, including Russia. The solution of this problem is impossible without active and meaningful participation by the state. The residential real estate market has specific characteristics that significantly distinguish it from other markets. The article highlights the features of the residential real estate market as an object of government regulation. The author describes specific features of the government as a subject of management of the residential real estate market, substantiates rationale for the active participation of the state in the management of the real estate market, and outlines possible directions of government regulation of the residential real estate market. The author also describes the Russian experience of implementing certain measures in the framework of direct and indirect forms of government regulation of the residential real estate market as well as the results of such events.


2016 ◽  
Vol 10 (2) ◽  
pp. 21 ◽  
Author(s):  
Ademir Araújo da Costa ◽  
Eduardo Alexandre do Nascimento

Resumo As ações das forças políticas e do capital, em território mossoroense, têm engendrado a reunião de um conjunto de condições favoráveis ao expressivo desenvolvimento do mercado imobiliário na cidade. Tal desenvolvimento se evidencia pela significativa quantidade de investimentos aplicados na produção de condomínios residenciais fechados, destinados às classes, média e alta, e na construção de conjuntos habitacionais “populares” dentro do Programa Minha Casa Minha Vida (PMCMV). Diante dos impactos da dinâmica do setor imobiliário sobre a economia e sobre a reconfiguração do espaço urbano local, é preciso indagar: quais fatores têm impulsionado o mercado de imóveis residenciais em Mossoró a partir dos primeiros anos de 2000 até o presente momento? Partindo dessa questão, define-se como objetivo central deste trabalho a análise das principais condições e fatores responsáveis pelo processo de expansão do mercado imobiliário em Mossoró a partir dos primeiros anos de 2000. Palavras-chave: Mossoró-RN; Mercado Imobiliário; Espaço Urbano; PMCMV AbstractThe actions of political and capital forces, in the territory of Mossoró, have generated the reunion of a set of favorable conditions to the significant development of the real estate market in the city. Such development is evidenced by the significant amount of investments applied in the production of residential gated condominiums, for the classes medium and high, and the construction of “popular” housing complexes within the Programa Minha Casa Minha Vida (PMCMV). Given the dynamics of the real estate sector impacts on the economy and about the reconfiguration of the local urban space, it must be asked: what factors have boosted the housing market in Mossoró from the early 2000s to the present time? From this point of view, the main goal of this paper consists of analyzing the main conditions and factors that lead to the expansion of Mossoró real estate market in the first years of 2000.Keywords: Mossoró-RN; Real Estate Market; Urban Space; PMCMV ResumenLas acciones de las fuerzas políticas y el territorio capital mossoroense, han diseñado la reunión de un conjunto de condiciones favorables para el desarrollo el expresiva del mercado de vivienda en la ciudad. Dicho desarrollo se manifiesta por el importante monto de inversiones aplicadas en la producción de condominios residenciales cerrada para clases, media y alta y la construcción de viviendas "popular" dentro del programa mi casa mi vida (PMCMV). Sobre los impactos de la dinámica del sector inmobiliario en la economía y en la reconfiguración de la ubicación del espacio urbano, tienes que preguntar: ¿Qué factores han impulsado el mercado de viviendas en Mossoró desde los primeros años del 2000 hasta la actualidad? Basado en esto, se define como objetivo central de este trabajo el análisis de las principales condiciones y factores responsables por el proceso de expansión del mercado inmobiliario en Mossoró desde los primeros años de 2000.Palabras clave: Mossoró-RN; Mercado Inmobiliario; Espacio Urbano; PMCMV


2018 ◽  
Vol 26 (4) ◽  
pp. 12-21
Author(s):  
Rafal Wolski

Abstract The stock exchange is considered one of the most important financial institutions in the market economy. The stock market reacts to the state of the economy almost immediately, and, in the end, the quotations of companies affect the state of other markets. The author decided to look at companies from the WIG Real Estate index as important entities shaping the real estate market. When comparing the situation on the capital market with the situation on the residential real estate market, one could, building an appropriate model, conclude how much these markets interact. Purpose - The purpose of the article is to present the links between two important markets, the capital market, with real estate companies as its representatives, and the secondary housing market. In order to achieve the goal, a research hypothesis was formulated: the economic situation on the real estate companies market will be reflected in the situation on the secondary housing market. Design/methodology/approach - Cross-sectional regression analysis was used in the study. Using the data from the Warsaw Stock Exchange and the National Bank of Poland, regression models where price changes in the secondary housing market are explained by the quotations of real estate companies and selected stock exchange indices were built. The study was carried out from the first quarter of 2011 to the third quarter of 2017. Findings - Two models were built in which the rates of return on investments in real estate companies explain the price changes in the secondary housing market in a statistically significant way. Thus, the research hypothesis was positively verified, showing that the real estate market and the stock market of real estate companies are interrelated. Originality/Value - The alternative method of analyzing the real estate market can be considered as the original value of the presented results. A demonstration of the connections between both markets allows us to validate the methods used on the stock market to analyze the real estate market. An example application is the use of methods for estimating the cost of capital from the stock market in the real estate market.


2015 ◽  
Vol 22 (4) ◽  
pp. 27-34 ◽  
Author(s):  
Anna Gdakowicz

Abstract The real estate market is regarded as a part of the capital market. Just as they invest in securities, investors allocate their funds in real estate, hoping to make a sound profit. There are many tools that support the process of investing on the stock exchange, such as a technical analysis. There are also proven methods that help predict future prices of assets on the basis of their historic quotations. The article is an attempt to transfer the Japanese method of candlestick charting used in the technical analysis of securities onto the real estate market. The method has been implemented on the residential real estate market due to the relatively large number of transactions being concluded there.


Author(s):  
V. Zapototska ◽  
O. Levytska ◽  
I. Horyn

In this article we consider the theoretical and applied principles of formation of the cost of residential areas of Lviv. Some factors of supply were evaluated such as: availability of housing, the exploitaition of housing, foreign direct investments, the amount of construction works. The assessment of activity indicators of the real estate market in the regions was done. Maximum of residential real estate of the secondary market of Lviv, which were on sale in 2015, was observed in FrankIvskiy region (20.0% of all objects), because it has a high degree of intensity of functioning of the real estate market in this segment. However, in Sykhivskiy region the development of secondary real estate is retarded, despite of the significant amounts of housing. An analysis of the price indices of housing in the city allowed to the authors to identify five areas of pricing, to analyze property values of the areas of the city and to outline the reasons of differentiation. The first – Central area – includes Galitskiy array. The second – middle zone – consists of Zaliznichniy, Frankivskiy, Shevchenkivskiy and Lychakivskyi arrays and Lychakiv, Pogulyanka and the New Lviv. The third – peripheral urban area – covers Levandivka, Sriblyastiy, Veliki Kravchitsi, Znesinnia, Mayorivka, Kozelnyky, Sihiv and Sykhivskiy array Bodnarivka, Kulparkiv, Zamarstyniv and Zboyischa. The fourth – peripheral area – includes Syhnivka and Ryasne. The fifth – neighborhood peripheral zone– applies to the Lysynachi and Ryasne-2. The authors managed to create a map of the potential fields in a cost of residential development in the city. The amount of new buildings in the city’s area also was analyzed in the work. According to the forecast which was made by using analytical methods of smoothing and leveling till May 2017, prices in secondary market of all areas of Lviv will gradually decrease in average house. Naturally, the highest values in prices will occur in the central and middle areas. The reason is that the investigated territory is the historical center of the city, which has a high level of service industry. This part of city has the highest level of industrial production and sales of industrial products. It also constantly focuses on development of trade and providing the local population with qualitative goods and services. Housing prices will be the lowest in peripheral approximate, peripheral and remote peripheral areas of Lviv, which are the youngest and the most isolated among other areas of the city. There are also green areas in Lviv which are characterized by insufficient availability of social facilities. The main problem here is transport infrastructure. It needs development and improvement because the locals daily faced with serious problems both during arrival at work or school and when they return home. In the work also were conducted the calculations of tightness connection (correlation) parameters of the commissioning of housing, retail turnover volume of enterprises of direct investment, the quantity of people and the average nominal wage by an average of one full-time employee. The result of the reseach is a tight connection between the commissioning of housing and retail turnover of enterprises and average nominal wages on average one staff member. It has a linear character and it’s positive. However, direct investments and quantity of population in general are not related to the investigation process.


2021 ◽  
Vol 284 ◽  
pp. 11003
Author(s):  
Irina Ilyina ◽  
Egor Kovalsky ◽  
Tatyana Khnikina ◽  
Olga Voronova

This paper considers connection and interdependence between construction of new subway chains and stations and development trends in the real estate market. Via comprehensive implementation of market analysis methods, together with data grouping and assessment, the study systemizes the principles required for a successful development of the urban and transport infrastructure within particular districts in Saint-Petersburg and Moscow. Resulting from the conducted analysis, the authors highlighted key aspects in terms of subway construction taking into consideration its direct connection with the specifics of a given district. The interdependence between increasing prices at the real estate market and subway construction is justified.


2016 ◽  
Vol 24 (4) ◽  
pp. 70-78 ◽  
Author(s):  
Alina Źróbek-Różańska

Abstract Predicting demand on the residential real estate market and the behavior of the purchasers requires a wide knowledge of both the economic mechanisms and psychology of decision-making. Decisions on the real estate market are often made by people without professional skills, and using simplified strategies. However, the decision-making process, on top of its heuristic nature, is dynamic and changing. As a result, a discrepancy in the preferred characteristics of planned and actually bought real estate can be observed. Such a discrepancy can be explained with the occurrence of the compensation process. The aim of this article was to recognize and describe the compensation process on the example of the suburban residential real estate market. The aim was achieved by analyzing the preferences of potential buyers in terms of particular characteristics of the location of suburban plots destined for single-family housing (respondents divided into age groups: 25 and 26-40), analyzing the real settlement trend in the suburban zone (the result of actual transactions) and comparing the results, including compensation.


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