Housing markets of Russia's Far North East regions: There is still no investment. Why?

2021 ◽  
Vol 19 (4) ◽  
pp. 665-692
Author(s):  
Oksana S. FAVSTRITSKAYA

Subject. This article examines the functioning of the housing market of the Far North East of Russia, and the peculiarities of housing as a commodity and object of investment. Objectives. The article aims to analyze the features of the housing market of the Russian North East regions, and their relationship with the state and prospects of the region's development. Methods. For the study, I used the methods of historical, comparative, and statistical analyses. Data visualization is presented in tabular and graphical forms. Results. The article describes the peculiarities of the housing market in the regions of the Far North East of Russia, its current state and the interdependence of the real estate market and the region's economy. The article also shows the prospects for the development of this market. Conclusions. To increase the attractiveness of housing in the Far North East of Russia as an investment destination, a high standard of living must be ensured.

2016 ◽  
Vol 24 (2) ◽  
pp. 47-56
Author(s):  
Anna Barańska

Abstract The market of non-residential premises is the subject of analyses less frequently than the housing market. There are two main reasons which probably contribute thereto. First of all, commercial premises are relatively less frequently objects of trade than dwelling units; secondly, they are more diverse due to their various uses. The category includes garages, office premises, commercial premises, as well as warehouses. Such differences in their uses result in significantly different characteristics, such as surface area. The article attempts to analyse a selected non-residential segment of the commercial property market in Krakow based on a large set of data (280 objects), referring to the transactions concluded in the last five years. The size of the data enabled the use of multidimensional modelling of the selected market in different size variants. This made it possible to draw reliable conclusions which undermine the widespread belief regarding very limited possibilities of using the method of market statistical analysis in the comparative approach, especially in this segment of the real estate market, as well as in others, where transactions are concluded less frequently than on the housing market.


Urban Studies ◽  
2018 ◽  
Vol 55 (7) ◽  
pp. 1579-1594 ◽  
Author(s):  
Mengqi Wang

China’s socialist market economy is predominated by strong state-owned sectors. In the real estate market, the government further controls land and regulates social services based on property ownership. But how do ordinary market actors perceive this configuration and strategise their economic practice accordingly? Based on 20 months of ethnographic fieldwork, this article explores buyers’ and estate agents’ imagination of and practice in the housing market with a focus on the folk concept of rigid demand. Rigid demand (gangxu) refers to the belief that people have to buy a home regardless of price. Presenting how people invoke a range of referents and contexts when talking about rigid demand, I show that common Chinese market actors understand and approach the housing market not as an end in itself but as a mechanism devised and maneuvered by big market players such as the government and developers. Furthermore, actors believe that the market has a social purpose and is susceptible to agentive interventions. Ultimately, I argue that the social representation of the socialist housing market constructs and contests the legitimacy of certain economic practices and influences market performance accordingly.


2021 ◽  
Vol 91 ◽  
pp. 01028
Author(s):  
Eduard Hromada

The article deals with the description of the impacts of COVID-19 on the real estate market in the Czech Republic. The article focuses on the housing market - sales and rentals of apartments. The article contains graphs that show the development before COVID-19 and during COVID-19. Trends are indicated as the real estate market will develop in the next period. All results published in this article were created using the EVAL software, which the author of the article has been developing since 2007. This software continuously maps real estate advertising within all cities in the Czech Republic.


2021 ◽  
Vol 8 (1) ◽  
pp. 36-46
Author(s):  
Justyna Brzezicka ◽  
◽  
Radosław Wisniewski ◽  

This article proposes the normalisation of the speculative frame method for identifying real estate bubbles, price shocks, and other disturbances in the real estate market. This index-based method relies on time series data and real estate prices. In this article, the speculative frame method was elaborated and normalised with the use of equations for normalising data sets and research methodologies. The method is discussed on the example of the Polish housing market.


2020 ◽  
Vol 21 (3) ◽  
pp. 401-416
Author(s):  
Philipp Breidenbach ◽  
Sandra Schaffner

AbstractThe development and conditions of the housing market are an important part of economic research, receiving growing attention also in Germany. The RWI-GEO-RED dataset covers data for the German residential housing market from 2007 onwards on 1 km² level and closes the gap for small-scale, nationwide and up-to-date housing data for Germany. The data has a large potential in analyzing the real estate market itself or to evaluate policy interventions through treatments on small regional levels. Prominent examples are the closing of nuclear power plants and the German rent control. The dataset can be used on its own but also has a large potential for combination with different data. The dataset is provided by the FDZ Ruhr at RWI that hosts small-scale regional data for Germany. The data can be obtained for scientific research as scientific use file.


2013 ◽  
Vol 13 (1) ◽  
pp. 76-94 ◽  
Author(s):  
Waldemar Tyc

Abstract The article presents a discourse on the mechanism by which price bubbles emerge and burst. For idealization purposes the author assumes that even though price bubbles emerge in various markets, their morphology differs from market to market, be it the hi-tech stock (or, more generally, the stock market), the real estate market (where land is of fixed supply) or the housing market. The sources of their diversification lie in the type and weight of the causes of their appearance, the differences between their causative and functional determinants and the market feedbacks. Any interpretation of the nomological diversification of price bubbles (in the sense of their categorisation) requires looking at the system pragmatics and the market in which they emerge. Thus the designations of economic systems and the specifics of markets constitute both the economic and the institutional environment of their origin. They also constitute the necessary context for their understanding and interpretation, as price bubbles rise and collapse within specific functional structures of an economic system.


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.


Author(s):  
Sesegma Rinchinovna Sondueva

The subject of this research is the development of the concept of segmentation in the housing market and emergence of approaches towards segmentation. The object of is the term “segmentation” and approaches towards this method. The author examines the historical development of this concept, as well as the criteria for segmentation of commodities. Description is given to the methods of segmentation in the marketing sphere. The author determines the methods used for segmentation of real estate objects, as well as the variants of structurization and segmentation of the real estate market. The advantages of market segmentation in comparison with the traditional method of mass marketing are outlined. The author reveals that the concept of segmentation has existed for over 70 years. There are two traditional methods of segmentation used worldwide: “post hoc” and “a priory”. Segmentation of residential market is conducted via “a priory” method. The author detects the method used for segmentation of residential objects and the criteria in studying the residential market. The need for segmentation of residential objects is substantiated by the fact that consumer requirements change over time, and segmentation allows determining the target audience and preferences of the potential customers.


2021 ◽  
Vol 1 (161) ◽  
pp. 116-123
Author(s):  
S. Kobzan ◽  
A. Ivakhnenko ◽  
M. Tolsta

The purpose of the article is to conduct a study of the rental market as a separate segment of the real estate market in urban development. A study of the rental market in Kharkiv was conducted. The relevance of the study is to determine the prospects for the development of modern urban economy, taking into account the development of the rental market. The question of the dependence of the rent on the cost of housing and the profitability of certain segments of the housing market is determined. An improved classification of different segments of housing in the modern city is given. An analysis of the cost of rent for each segment and depending on the location. Factors that significantly affect the cost of rent have been studied. Conclusions are made about the future development of the rental market in the municipal economy. In urban planning and urban planning it is extremely important to take into account the prospects and development of such a market segment as the rental market of residential real estate. The relevance of the study is to determine the prospects for the development of modern urban economy, taking into account the development of the rental market. The residential real estate rental market is a very important component for the development of the city in Kharkiv. The issue of researching the apartment rental market is relevant and will be deeply analyzed in the future. To achieve this goal, the following tasks are set in the work: Analyze the rental market. Develop an improved classification of segmentation in the residential real estate market. Conduct research on the factors that affect the cost of rent. Develop a GIS model of the impact of rental costs depending on the area of the city. Build a detailed table of the dependence of the cost of rent on the location. Investigate the interaction in the real estate rental market and sales within urban development. The rental price is influenced by the following factors: - trends of growth or decline of the general state of the real estate market as a whole; - seasonality; - the distance of the district from the city center; - the presence of a transport interchange; - ecology, in the area where the object is located; - developed infrastructure; - level of housing comfort; - the duration of the lease; - number of rooms; - the presence of repairs; - type and condition of the building in which the dwelling is located. The article examines the rental housing market. Defined rental rates: minimum, average and maximum cost. Charts of dependence of cost of rent on a segment and a location are constructed. The housing market is developing despite the unstable economic situation, the devaluation of the hryvnia and declining incomes. The cost of renting an apartment depends on the location, condition of the house, transport infrastructure and the condition of the real estate. The hotel rental market is developing very actively. In Kharkov, in most cases, buy small apartments and hotels for investment (income from further rent). With the help of GOOGLE MAP, a map of the dependence of the average cost of renting hotels and 1-bedroom, 2-bedroom, 3-bedroom apartments on the location in the areas of Kharkiv was developed.


2019 ◽  
Vol 41 (3) ◽  
pp. 443-472
Author(s):  
Fu Shuen Shie

Recent research has found significant evidence of a 52-week high affinity effect in the stock market. A stock's historical highest price, in the previous 52 weeks, approximately one year, exhibits an anchoring effect on investor decisions. In this paper, I examine whether the highest past price, over several years, can contribute to predicting returns in the real estate market. I find the 9-year high has a positive relation with the return of house prices, while the 2-year high shows a negative relationship in the U.S. housing market. Additionally, economic variables have differing effects on the behaviors of households when considering prices within the context of the threshold point of the highest price of the previous years. This is the first investigation to highlight the importance of an n-year high in the housing market.


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