scholarly journals On Selecting Approaches to Analysis of the Residential Property Market

2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Natalya Kovalevskaya ◽  
Vladislav Tyunkov

The article examines the issues of developing the residential property market taking into account the specifics of real estate as an object of the economic analysis. It reveals the terms of implementing economic interest in investing in residential property, identifies the features inherent in the residential property market as investment and commodity markets. It analyses the dual nature of real estate which explains the development of investment and consumer interests of the residential property market participants. The article analyses the interrelation of «saving - investment - consumption» at the level of implementing private (individual) interests of economic subject. It makes a comparison of various investment assets in terms of their attractiveness for private investors, depending on various factors affecting the decision to invest. It analyses the terms that allow to fully disclose the investment or consumer aspects of the residential property market. It considers the impact of the governmental investment policy directed at supporting and promoting development aspects of the residential property market.

2021 ◽  
Vol 27 (3) ◽  
pp. 627-648
Author(s):  
Ella Yu. PAVEL'EVA

Subject. Professional training of decision-makers influences investment decision private or individual investors make. Decisions on real estate investment are subject to biased consumer preferences resulting from investment or consumer interests. Hence, choosing a residential real estate item to purchase/rent, future buyers have their own psychological and emotional opinion on values. Objectives. I provide my own interpretation of residential real estate appraised by the private investor, considering their psychological and emotional traits. Methods. I applied general scientific and special methods of research to study the residential real estate appraisal, such as the retrospective, systems and functional-structural analysis, observation, classification, instrumental techniques for grouping, sampling, comparison and generalization, evolutionary and dynamic analysis, surveys and sorting out of the findings. Results. Private investors make choices, referring to their own personal trains, such as behavior, personal beliefs and values. I suggest considering the market segmentation on the basis of value-based method and evaluating the given segment. I tested the technique, referring to the Saint-Petersburg market of real estate. Various social groups of private investors were found to choose different residential properties and have different priorities in choosing an apartment for purchase or rent. They have greater expectations about the quality of rented housing than a residential property item to be purchased for their own use. Conclusions and Relevance. I investigated the relationship of investors’ behavior and investment lucrativeness of a residential property item. I discovered key aspects of lucrativeness for investors and provide guidelines for coordination of investors’ choices in line with their personal preferences.


2011 ◽  
Vol 374-377 ◽  
pp. 2452-2455
Author(s):  
Zhan She Yang ◽  
Jing Shan

Property tax levying will make a huge impact on residential demand, residential supply, even the whole residential property market. It plays a vital role to the healthy and stable development of the residential property market. Although levying the property tax is very difficulty, it is the inevitable trend of development. In the long run, levying the property tax not only conform to the national interest, but also conducive to development of the real estate and the interests of residence buyer.


Author(s):  
Olgun Aydin ◽  
Krystian Zielinski

Although the residential property market has strong connections with various sectors, such as construction, logistics, and investment, it works through different dynamics than do other markets; thus, it can be analysed from various perspectives. Researchers and investors are mostly interested in price trends, the impact of external factors on residential property prices, and price prediction. When analysing price trends, it is beneficial to consider multidimensional data that contain attributes of residential properties, such as number of rooms, number of bathrooms, floor number, total floors, and size, as well as proximity to public transport, shops, and banks. Knowing a neighbourhood's key aspects and properties could help investors, real estate development companies, and people looking to buy or rent properties to investigate similar neighbourhoods that may have unusual price trends. In this study, the self-organizing map method was applied to residential property listings in the Trójmiasto area of Poland, where the residential market has recently been quite active. The study aims to group together neighbourhoods and subregions to find similarities between them in terms of price trends and stock. Moreover, this study presents relationships between attributes of residential properties.


2011 ◽  
Vol 117-119 ◽  
pp. 1547-1551
Author(s):  
Xi Li Tan ◽  
Han Zhou ◽  
Ying Song Xu

Real estate price has been one of the hottest discussion topics, especially in recent years, it becomes the focus of attention. In this paper, we aim to study the impact of economic factors on real estate price. By multiple linear regression model and SPSS software, we analyze four economic indicators affecting the real estate price of Jilin city, and make some amendments and testings, the conclusions show the consumption level and housing construction area are important factors affecting the price trend. On this basis, we further to give the corresponding countermeasures and suggestions.


2015 ◽  
Vol 73 (5) ◽  
Author(s):  
Asmma’ Che Kasim ◽  
Megat Mohd Ghazali Megat Abdul Rahman ◽  
Maryanti Mohd Raid

Indoor environmental quality (IEQ) is among six criteria of Green Building Index (GBI) that need to be achieved by building owner in order to recognize their building as ‘green’ in Malaysia. The benefit of IEQ is to create conducive environment for human health. Besides influenced their overall image, leasing and resale value of the buildings, does indoor environmental quality (IEQ) features will give impact on real estate market in terms of price and rental particularly for residential building property? Therefore, this paper will review the broad literature regarding the impacts of indoor environmental quality (IEQ) for residential building property and its implication to towards property price and rental. The early hypothesis of this paper anticipates that indoor environmental quality (IEQ) features will indirectly increase residential property market price and rental. From this paper, it is hope that the positive impacts of these features will encourage building owners, developers and other main development actors to put these criteria into the same consideration as other criteria in GBI as one of the way to compensate the impact of the building towards economic, environment and social.


2020 ◽  
Vol 15 (1) ◽  
pp. 39-52
Author(s):  
Wiesława Kuźniar ◽  
Kazimierz Cyran

The main goal of the article is to evaluate the city’s real estate sub-product and identify the impact of perception of this urban sphere on the overall image of Rzeszów city among students. A thesis was accepted by the authors that the attractive image of Rzeszów determines the development of the residential real estate market, attracting especially young, educated people to the city. On the basis of a literature analysis of the subject, information obtained from secondary sources on the topic of Rzeszów, as well as surveys carried out in 2018 among students (n = 325), the thesis was confirmed. Thanks to the fast, modern development of the city and consistently implemented marketing activities, Rzeszów is perceived as an innovative city that is friendly to residents, investors and students. This contributes to the inflow of new, usually young, educated residents and investors, which in turn translates into high dynamics in the residential real estate market. Questionnaire surveys carried out among students have shown that they highly appreciate the current image of Rzeszów and, most after graduation, plan to stay in the city which in their opinion is an attractive place for everyday life.


2020 ◽  
Vol 165 ◽  
pp. 06022
Author(s):  
Dunnan Liu ◽  
Rui Ge ◽  
Pengfei Li ◽  
Hua Li ◽  
Shanzhe Shi ◽  
...  

The market behaviors of the supply and demand sides in the power market are the issues that market participants, operators and regulators are most concerned about. This article starts from the two dimensions of power generation market behavior and demand market behaviour, analyzes the impact of power transaction behavior on supply and demand trend changes, and then studies the function of big data technology in correlation analysis. The qualitative data is converted into quantitative data, and then gray rule analysis and correlation coefficient analysis are used to mine association rules. The results show that demand response is the key factor that affects the change of load trend.


2019 ◽  
Vol 13 (1-2) ◽  
pp. 37-46
Author(s):  
Csaba Tóth

The Hungarian real estate market has gone through a widely fluctuating phase in the new millennium, which has not missed periods of surge, crisis-driven gloom and recovery. Amidst these conditions, an international developer engaged in a large-scale, long-timeframe residential property building project (Sasad Liget Residential Complex) in District XI of the Hungarian capital. The article examines the exposures and impacts of the development project to the external factors. The deployed quantitative statistical methods reveal that despite the considerable weight of the project, the in-market performance of SLRC has been the function of the general swings of the sector. Further, although the project generated higher demand than the bulk of other properties in the vicinity, its weight has not been enough to impact the property market of District XI at a statistically significant degree. JEL Classification: E31, R31


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