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Journal articles on the topic 'Real Estate Market Analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Munoz Cabanes, Alberto, Alfonso Herrero de Egana, and Arturo Romero. "Real option analysis. The viability of real estate projects." Investment Management and Financial Innovations 17, no. 4 (2020): 271–84. http://dx.doi.org/10.21511/imfi.17(4).2020.24.

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Traditional methods used for real estate project valuation, such as the static Net Present Value, have some limitations, as these methods do not consider the possibility of a change in the initial conditions of the project or during its development. On the other hand, the real options approach allows for flexibility in evaluating a real estate project, improving the decision-making process as it helps identify the optimal strategy and timing for the construction phases. The paper deals with evaluating an actual real estate project in La Rioja (Spain) using different options to estimate its fin

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2

Ke, Qiulin, and Karen Sieracki. "Market maturity: China commercial real estate market." Journal of Property Investment & Finance 33, no. 1 (2015): 4–18. http://dx.doi.org/10.1108/jpif-08-2013-0047.

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Purpose – The purpose of this paper is to explore the evolutionary path to market maturity that China property market has taken over the last few decades. The focus is on the commercial real estate markets in Beijing and Shanghai. It will help international investors understand the market environment, risk and market activity process. Design/methodology/approach – In this research, the authors apply the market maturity framework and its key determinants based on previous work undertaken by Keogh and D’Arcy (1994) and Chin et al. (2006) for the analysis of Chinese commercial property market. Pa

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3

SHIMIZU, Chihiro. "Data Resources in Real Estate Market Analysis." Japanese Journal of Real Estate Sciences 33, no. 4 (2020): 58. http://dx.doi.org/10.5736/jares.33.4_58.

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Lux, Nicole, and Alex Moss. "Liquidity in global real estate securities markets." Journal of Property Investment & Finance 34, no. 4 (2016): 321–46. http://dx.doi.org/10.1108/jpif-11-2015-0078.

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Purpose – The purpose of this paper is to test the relationship between liquidity in listed real estate markets, company size and geography during different market cycles, specifically pre-crisis (2002-2006) and post-crisis (2010-2014). Further, the study analyses the impact of stock liquidity on stock performance. In a previous study the authors examined the impact of liquidity on the valuation of European real estate shares. The result showed that there is a strong relationship between liquidity, valuation and market capitalisation post the Global Financial Crisis. Design/methodology/approac

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Chernyshova, Maria, Arina Malenkaya, and Tatyana Mezhuyeva. "ANALYSIS OF PRICING FACTORS IN REAL ESTATE MARKET." Interexpo GEO-Siberia 6, no. 2 (2019): 79–85. http://dx.doi.org/10.33764/2618-981x-2019-6-2-79-85.

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In the real estate market price depends on supply and demand is formed under the influence of social, economic and physical factors. The article presents the results of the analysis of pricing factors in the real estate market, the forecast of real estate prices in 2019.

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Figurska, Marta, and Radoslaw Wisniewski. "Fundamental Analysis – Possiblity of Application on the Real Estate Market." Real Estate Management and Valuation 24, no. 4 (2016): 35–46. http://dx.doi.org/10.1515/remav-2016-0028.

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Abstract The most common method supporting investing on the capital market or making decisions on the real estate market is technical analysis. This article, however, focuses on the less popular fundamental analysis, the importance of which is increasing on internationals markets, especially fully-developed ones. Fundamental analysis is used for long-term predictions of values of future phenomena, based on historical data and any factors likely to affect the level of supply and demand. The final result of its use is an appraisal the true value of the subject of valuation, or so-called fundamen

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Hin/David Ho, Kim, and Kwame Addae-Dapaah. "Real estate market cyclical dynamics." International Journal of Managerial Finance 10, no. 2 (2014): 241–62. http://dx.doi.org/10.1108/ijmf-10-2013-0108.

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Purpose – The purpose of this paper is to help us understand the real estate cycle and offers an analysis using a vector auto regression (VAR) model. The authors study the key international cities of Hong Kong, Kuala Lumpur and Singapore. The authors find four key outcomes. One, the real estate cycle is generally different from the underlying business cycle in local markets for the cities studies. Two, the real estate cycle is more exaggerated in the construction and development areas than in rents and vacancies. Three, the vacancy cycle tends to lead the rental cycle. And four, new constructi

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Zemlyanskiy, O. A. "Analysis of the real estate market for business activities." Vestnik Universiteta, no. 5 (July 6, 2021): 60–68. http://dx.doi.org/10.26425/1816-4277-2021-5-60-68.

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Effective business activities conducting in the real estate market is impossible without an objective analysis of the real estate market, its individual segments, comparing the possibilities and efficiency of doing business in different market segments. Based on the generalization of various methods, the author proposes an analysis of the real estate market to determine the possibility of effective business activity, including setting goals for the analysis of the real estate market and its individual segments, determining the subject, conditions and opportunities for entrepreneurial activity

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Ruscheinsky, Jessica Roxanne, Marcel Lang, and Wolfgang Schäfers. "Real estate media sentiment through textual analysis." Journal of Property Investment & Finance 36, no. 5 (2018): 410–28. http://dx.doi.org/10.1108/jpif-07-2017-0050.

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Purpose The purpose of this paper is to determine systematically the broader relationship between news media sentiment, extracted through textual analysis of articles published by leading US newspapers, and the securitized real estate market. Design/methodology/approach The methodology is divided into two stages. First, roughly 125,000 US newspaper article headlines from Bloomberg, The Financial Times, Forbes and The Wall Street Journal are investigated with a dictionary-based approach, and different measures of sentiment are created. Second, a vector autoregressive framework is used to analys

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10

Kulczycki, Marek, and Marcin Ligas. "Qualitative similarity coefficients in real estate market analysis." Geomatics and Environmental Engineering 8, no. 1 (2014): 33. http://dx.doi.org/10.7494/geom.2014.8.1.33.

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11

Jang, Jae-Il, and Eunjoo Oh. "Analysis of Current Situations of Real Estate Market." Asia-pacific Journal of Multimedia services convergent with Art, Humanities, and Sociology 7, no. 5 (2017): 685–93. http://dx.doi.org/10.14257/ajmahs.2017.05.62.

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12

Gallagher, Mark, and Asieh Mansour. "An Analysis of Hotel Real Estate Market Dynamics." Journal of Real Estate Research 19, no. 2 (2000): 133–64. http://dx.doi.org/10.1080/10835547.2000.12091016.

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13

Ling, Mu Ling, Li Yuan, and Cheng Ya Wei. "Risk Analysis of the Real Estate Financial Market Based on Risk Energy Theory." International Journal of Corporate Finance and Accounting 8, no. 1 (2021): 15–26. http://dx.doi.org/10.4018/ijcfa.2021010102.

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Beginning with real estate financial risk and risk energy theory, combined with empirical research, this article analyzes real estate financial markets in different stages and calculates the profit and loss (the ratio of the release of risk energy to the risk energy) in order to judge whether the risk energy has exceeded the system tolerance and to play a warning role. First, this article analyzes uncertain factors in the real estate market, builds a real estate supply and demand network, determines system risk characteristics, corresponding profit and loss categories, quantitative and qualita

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14

Nguyen, My-Linh Thi, and Toan Ngoc Bui. "The Real Estate Market and Financial Stability." International Journal of Mathematical, Engineering and Management Sciences 5, no. 6 (2020): 1270–83. http://dx.doi.org/10.33889/ijmems.2020.5.6.094.

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This paper investigates the relationship between the real estate market (REM) and financial stability in Vietnam. Financial stability is measured using stock market volatility. The research is performed in Vietnam, a developing country whose stock and real estate markets are considered to be nascent, so the data series is very short. To solve this problem, the autoregressive distributed lag (ARDL) approach, which generates more valid results than its counterparts, is adopted. Furthermore, the ARDL approach is appropriate for a model with non-stationary data series and especially allows the ana

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Lazareva, Е. А., and N. A. Tyuleneva. "ANALYSIS OF REAL ESTATE VALUE ON THE EXAMPLE OF THE TOMSK’S COMMERCIAL REAL ESTATE MARKET." Vestnik Tomskogo gosudarstvennogo universiteta. Ekonomika, no. 45 (March 1, 2019): 201–15. http://dx.doi.org/10.17223/19988648/45/14.

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Elmetwaly, Hassan M. M. "Information System Analysis and Building for Integrated Real Estate Business Management in Real Estate Market." American Journal of Economics and Business Administration 3, no. 2 (2011): 416–19. http://dx.doi.org/10.3844/ajebasp.2011.416.419.

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Vatin, Nikolay, Olga Gamayunova, and Darya Nemova. "Analysis of the Real Estate Market of St. Petersburg." Applied Mechanics and Materials 638-640 (September 2014): 2460–64. http://dx.doi.org/10.4028/www.scientific.net/amm.638-640.2460.

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Currently, more than half of the residents of St. Petersburg are not satisfied with their housing conditions. Plus a constant influx of migrants, which gives additional burden to domestic demand. The article analyzes the secondary housing market and the market of apartments in buildings under construction, the dynamics of the activity of demand for apartments. There are the comparison of the prices of residential real estate, depending on the type of apartment, house type, the district where the housing is located. Shown prospects for real estate investing. Highlighted the importance of energy

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18

Sternik, Sergey. "METHODOLOGY OF DISCRETE SPATIAL-PARAMETRIC REAL ESTATE MARKET MODELLING." Applied Mathematics and Control Sciences, no. 4 (December 15, 2020): 155–85. http://dx.doi.org/10.15593/2499-9873/2020.4.10.

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This paper gives a formalized description of the procedure for constructing widely used discrete spatial-parametric models of the real estate market in terms of set theory – an apparatus specially created for describing discrete spaces. The presentation is carried out in comparison with the approaches and concepts of a related methodology – regression models of mass appraisal of real estate objects. The methodology of discrete spatial-parametric modeling of the real estate market is used for market monitoring, for building dynamic market indices and for mass appraisal of real estate objects. T

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19

Liow, Kim Hiang, Xiaoxia Zhou, Qiang Li, and Yuting Huang. "Time–Scale Relationship between Securitized Real Estate and Local Stock Markets: Some Wavelet Evidence." Journal of Risk and Financial Management 12, no. 1 (2019): 16. http://dx.doi.org/10.3390/jrfm12010016.

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: This study revisits the relationship between securitized real estate and local stock markets by focusing on their time-scale co-movement and contagion dynamics across five developed countries. Since securitized real estate market is an important capital component of the domestic stock market in the respective economies, it is linked to the stock market. Earlier research does not have satisfactory results, because traditional methods average different relationships over various time and frequency domains between securitized real estate and local stock markets. According to our novel wavelet a

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Wilkinson, Sara Jane, and Sarah Sayce. "Decarbonising real estate." Journal of European Real Estate Research 13, no. 3 (2020): 387–408. http://dx.doi.org/10.1108/jerer-11-2019-0045.

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Purpose About 27 per cent of the total UK carbon emissions are attributed to residential buildings; therefore, improvements to the energy efficiency of the stock offers great potential. There are three main ways to achieve this. First is a mandatory approach, minimum energy efficiency standards are set and applied to new and existing buildings. Option 2 is voluntary, using energy ratings that classify performance to stimulate awareness and action. Third, financial measures, incentives and taxes, are applied to “nudge” behaviours. Most westernised countries have adopted a combination of Options

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Shao, S. W., X. Huang, L. X. Xiao, and H. Liu. "EXPLORING THE IMPACT OF REAL ESTATE POLICY ON REAL ESTATE TRADING USING THE TIME SERIES ANALYSIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 8, 2020): 1281–87. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-1281-2020.

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Abstract. Housing price is a major issue affecting people's lives, but also closely related to the interests of the people themselves. Housing prices are affected by various factors, such as economic factors, population size factors, social factors, national policy factors, the internal factors of real estate and environmental factors. With the deepening of urbanization and the agglomeration of urban population in China, housing prices have been further accelerated. The Chinese government has also introduced a series of policies to limit real estate transactions and affect property prices. Thi

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22

RENIGIER-BILOZOR, Malgorzata, Radoslaw WISNIEWSKI, and Andrzej BILOZOR. "RATING ATTRIBUTES TOOLKIT FOR THE RESIDENTIAL PROPERTY MARKET." International Journal of Strategic Property Management 21, no. 3 (2017): 307–17. http://dx.doi.org/10.3846/1648715x.2016.1270235.

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The growing significance of the real estate market prompts investors to search for factors and variables which support cohesive analyses of real estate markets, market comparisons based on diverse criteria and determination of market potential. The specificity of the real estate market is determined by the unique attributes of property. The authors assumed that developing real estate market ratings identifies the types of information and factors which affect decision-making on real estate markets. The main objective of real estate market ratings is to create a universal and standardized classi

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23

Shpik, N. "Analysis of real estate market in Ukraine and Europe." Vìsnik L’vìvs’kogo nacìonal’nogo agrarnogo unìversitetu. Arhìtektura ì sìl’s’kogospodars’ke budìvnictvo 19 (December 1, 2018): 204–7. http://dx.doi.org/10.31734/architecture2018.19.204.

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24

Savelieva, Irina, Antonina Ukhova, and Alexey Okolnishnikov. "SEGMENTATION ANALYSIS OF PRIMARY RESIDENTIAL REAL ESTATE MARKET STRUCTURE." Bulletin of South Ural State University series "Economics and management" 9, no. 4 (2015): 149–56. http://dx.doi.org/10.14529/em090420.

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25

Gargula, Krzysztof. "Real estate market of housing analysis using methods GIS." Studia i Prace WNEiZ 45 (2016): 255–68. http://dx.doi.org/10.18276/sip.2016.45/1-20.

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26

Chun, Haejung. "Analysis of Real Estate Market Trends After COVID-19." Journal of Humanities and Social sciences 21 12, no. 4 (2021): 1821–32. http://dx.doi.org/10.22143/hss21.12.4.129.

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27

Brzezicka, Justyna, Jacek Łaszek, and Krzysztof Olszewski. "An Analysis of the Relationships Between Domestic Real Estate Markets – A Systemic Approach." Real Estate Management and Valuation 27, no. 1 (2019): 79–91. http://dx.doi.org/10.2478/remav-2019-0008.

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Abstract This article analyzes the spread of market phenomena, market tensions and trends between real estate markets on the global scale. At the theoretical level, the main aim of the study was to determine the nature of the relationships between housing markets throughout the world. The main research goal was to identify and describe the strength of the correlations between the real estate markets of the world’s 10 largest economies (countries with the highest GDP). The analyses were conducted with the use of Pearson’s correlation tests, Granger causality tests and graphs. Our results reveal

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Wolski, Rafal. "Listing of Developer Companies as a Predictor of the Situation on the Residential Real Estate Market." Real Estate Management and Valuation 26, no. 4 (2018): 12–21. http://dx.doi.org/10.2478/remav-2018-0032.

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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 pu

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Wolski, Rafal. "Co-Integration Test of Selected Indexes on the Share Market and Index of Housing Real Estate Prices." Real Estate Management and Valuation 28, no. 1 (2020): 100–111. http://dx.doi.org/10.1515/remav-2020-0009.

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AbstractThe integration of financial markets is an ongoing process throughout the world. Research shows that, from Australia through Europe to the United States, the capital and real estate markets are integrating, influencing each other. Although this process seems obvious, only research can show whether it actually occurs. Identifying these relationships is important for analyzing the entire market. Many methods, such as estimating the cost of equity, have been developed with the stock market in mind. Meanwhile, real estate valuation requires the cost of equity. Market integration is the rat

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Foryś, Iwona, and Małgorzata Tarczyńska-Łuniewska. "POLISH REAL ESTATE FUNDS AND INTERNATIONAL EXPERIENCE." Acta Scientiarum Polonorum. Oeconomia 16, no. 2 (2017): 45–53. http://dx.doi.org/10.22630/aspe.2017.16.2.17.

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Funds investing in the Polish real estate market have been functioning since 2004, but they have lived through both the times of the 2006–2008 boom and the times of the 2009–2014 crisis. The first close-end funds were established in 2004 and were originally intended to close down after eight years. However, their results did not guarantee the return expected by investors. The purpose of the study is to evaluate the performance of the Polish investment funds operating on a young, ten-year-old market in the context of the experience of mature markets with a long history of funds investing in rea

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Renigier-Biłozor, Małgorzata, and Andrzej Biłozor. "Optimization of the variables selection in the process of real estate markets rating." Oeconomia Copernicana 6, no. 4 (2015): 139. http://dx.doi.org/10.12775/oec.2015.033.

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The growing significance of the real estate market prompts investors to search for factors and variables which support cohesive analyses of real estate markets, market comparisons based on diverse criteria and determination of market potential. The specificity of the real estate market is determined by the unique attributes of property. The Authors assume that developing real estate market ratings identifies the types of information and factors which affect decision-making on real estate markets. The main objective of real estate market ratings is to create a universal and standardized classif

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Erdoğan, Saffet, and Abdulkadir Memduhoğlu. "A spatiotemporal exploratory analysis of real estate sales in Turkey using GIS." Journal of European Real Estate Research 12, no. 2 (2019): 207–26. http://dx.doi.org/10.1108/jerer-06-2018-0024.

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PurposeThe purpose of this paper is to examine the real estate sales in Turkey on a district basis to reveal the current state of real estate sales and any meaningful changes in the last period. The real estate market is important and is an indicator of the country’s general economic health, as real estate is seen as an investment.Design/methodology/approachAs a powerful method of spatial analysis and evaluation, geographic information systems have been used to examine real estate data in both spatial and temporal ways. In this study, 14 years of sales data covering the years 2004 to 2017 obta

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Katkova, Yana I. "Analysis of demand for commercial real estate of the Moscow Region." Economics of Contemporary Russia, no. 2 (August 3, 2020): 95–101. http://dx.doi.org/10.33293/1609-1442-2020-2(89)-95-101.

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The commercial real estate market is a specific and rapidly changing subject for research. Commercial real estate market is connected with the real sector of the economy through consumer demand, and it is connected with the financial market through alternative investment returns. Therefore, this market is actively studied by the Russian and foreign researchers. The most poorly studied issue in this market is its demand side. But the analysis of demand is difficult due to the fact that the buying cycle in the market is very long, and potential buyers are not registered anywhere until the transa

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Kobylińska and Cellmer. "Modelling and Simulation of Selected Real Estate Market Spatial Phenomena." ISPRS International Journal of Geo-Information 8, no. 10 (2019): 446. http://dx.doi.org/10.3390/ijgi8100446.

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This paper presents a novel approach to the modelling and simulation of real estate transactions. The main purpose of the study was to develop the theoretical foundations for building simulation models of transaction locations and real estate prices. Pursuing this objective involved a spatial market analysis based on geostatistics to develop maps of the dynamics and spatial activity of the real estate market. The research was conducted by presenting the issue against the background of the literature of the subject and by conducting an experiment, which involved developing an original procedure

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McGough, Tony, and Jim Berry. "Pricing risk and its use in modelling real estate market yields." Journal of Property Investment & Finance 38, no. 5 (2020): 419–33. http://dx.doi.org/10.1108/jpif-08-2019-0111.

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Purpose In the light of past financial and economic turmoil, there has been a marked increase in the volatility in real estate markets. This has impacted on the pricing of property assets, partly through market sentiment and particularly concerning risk. It also limits modelling accuracy model accuracy. The purpose of this paper is to create a new variable and model to enhance analysis of what drives real estate yields incorporating market sentiment to risk. Design/methodology/approach This paper specifically considers the modelling of property pricing within a volatile economic environment. T

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Curto, Rocco, Elena Fregonara, and Patrizia Semeraro. "Listing behaviour in the Italian real estate market." International Journal of Housing Markets and Analysis 8, no. 1 (2015): 97–117. http://dx.doi.org/10.1108/ijhma-01-2014-0003.

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Purpose – The main purpose of this paper is to explore the listing behaviours of agents and sellers. In particular, the paper analyzes listing prices and the predicting power of the house features described in advertisements, to improve their use in real estate valuations. In Italy, selling prices are not public information and therefore listing prices play a key role for market analyses and are used by real estate companies and appraisers for estimating house values. Design/methodology/approach – A traditional hedonic model was used to measure the overall contribution to listing price of the

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Renigier-Biłozor, Malgorzata, Radoslaw Wisniewski, Arturas Kaklauskas, and Andrzej Biłozor. "RATING METHODOLOGY FOR REAL ESTATE MARKETS – POLAND CASE STUDY." International Journal of Strategic Property Management 18, no. 2 (2014): 198–212. http://dx.doi.org/10.3846/1648715x.2014.927401.

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The development of the real estate market is conditioned by a variety of endogenous and exogenous factors. Selected factors determine the local character of the real estate market, whereas others contribute to its classification as one of the main branches of the national economy. Rapid economic growth and the search for new investment opportunities have turned the real estate market into a highly competitive arena where various players carry out diverse investment strategies. Investors search for similarities that would enable them to develop risk minimizing strategies. Ratings are a modern t

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Haran, Martin, Michael McCord, Peadar Davis, John McCord, Colm Lauder, and Graeme Newell. "European emerging real estate markets." Journal of Property Investment & Finance 34, no. 1 (2016): 27–50. http://dx.doi.org/10.1108/jpif-04-2015-0024.

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Purpose – The purpose of this paper is to improve the transparency of European emerging real estate market dynamics and performance attributes in the wake of the 2007-2008 global financial crisis (GFC). The paper examines the extent and nature of inter-relationships between three emerging real estate markets namely, the Czech Republic, Hungary and Poland as well as determining the rationale for including emerging real estate markets within a Pan-European investment portfolio. The paper affords a timely update following the reinstatement of lending provision for European emerging real estate in

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Jang, Hanwool, Yena Song, Sungbin Sohn, and Kwangwon Ahn. "Real Estate Soars and Financial Crises: Recent Stories." Sustainability 10, no. 12 (2018): 4559. http://dx.doi.org/10.3390/su10124559.

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This paper studies the contribution of real estate bubble to a financial crisis. First, we document symptoms of a real estate bubble along with a slowdown of the real economy and find indicators of an imminent crash of the stock market, triggering a sense of déjà vu from the 2008 crisis. However, we show that the relationship between real estate and financial markets has changed since the crisis. The empirical analyses provide evidence that the monetary policy has recovered its control over mortgage rates, which had been lost prior to the global financial crisis, and that the real estate marke

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Sinyak, Nikolay, Singh Tajinder, Jaglan Madhu Kumari, and Vitaliy Kozlovskiy. "Predicting real estate market trends and value using pre-processing and sentiment text mining analysis." Real estate: economics, management, no. 1 (May 17, 2021): 35–43. http://dx.doi.org/10.22337/2073-8412-2021-1-35-43.

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Ubiquitous growth in the text mining field is unprecedented, where social media mining is playing a significant role. Gigantic growth of text mining is becoming a potential source of crowd wisdom extraction and analysis especially in terms of text pre-processing and sentiment analysis. The analysis of a potential influence of sentiment on real estate markets controversially discussed by scholars of finance, valuation and market efficiency supporters. Therefore, it’s a significant task of current research purview which not only provide an appropriate platform for the contributors but also for a

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Zvezdina, N. V., and S. S. Grachеva. "Major Trends in the Primary Residential Real Estate Market: Economic and Statistical Analysis (Case Study: The City of Moscow)." Voprosy statistiki 27, no. 1 (2020): 71–84. http://dx.doi.org/10.34023/2313-6383-2020-27-1-71-84.

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The authors present results of the study of the domestic residential real estate market, using the city of Moscow as an example. Importance of this study comes from the fact that the residential real estate market occupies a signiﬁcant place in the national economy; that said, it is necessary to take into account its scale and development dynamics. On one hand, the development of the residential real estate market is always considered within our country’s social policy that is targeted at raising standards of living. Оn the other hand, players in various markets participate in the housing cons

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Shumilina, Vera, Ravida Reutova, and Elizaveta Rudenko. "STATISTICAL STUDY OF SUPPLY AND DEMAND FOR REAL ESTATE IN ROSTOV-ON-DON IN THE PERIOD 2010-2020." Science & World 2021, no. 1 (2021): 21–25. http://dx.doi.org/10.26526/2307-9401-2021-1-21-25.

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The article reflects the characteristics of the concepts of «real estate market» and «real estate market analysis». The main stages of analysis of the state of the residential real estate market are considered. The analysis of real estate market indicators in Rostov-on-don is carried out and the corresponding conclusions are made.

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Lee, Stephen. "Convergence in the UK direct real estate market." Journal of Property Investment & Finance 35, no. 4 (2017): 382–96. http://dx.doi.org/10.1108/jpif-06-2016-0043.

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Purpose The purpose of this paper is to empirically examine the issue of convergence in the monthly returns, rental growth and yields for ten market segments in the UK direct real estate market, using monthly data over the period from January 1987 to December 2014. Design/methodology/approach The methodology used to determine convergence is principal component analysis as it provides an assessment of the extent to which the variance of the market segments can be represented by a single common factor, explaining their long-run behaviour, and the degree of independence between the market segment

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Brzezicka, Justyna, and Radosław Wiśniewski. "Calendar Effects on the Real Estate Market." Real Estate Management and Valuation 21, no. 2 (2013): 13–21. http://dx.doi.org/10.2478/remav-2013-0012.

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Abstract Social and economic phenomena that rely on "soft" factors to explain the market reality supply highly valuable observations. Behavioral elements should not be omitted in analyses of the real estate market because the latest developments in behavioral sciences significantly contribute to our understanding of this market. The popularity of behavioral research in social and economic sciences provokes an examination of the significance of behavioral analyses on the real estate market. As an object of social and economic inquiry, the property market can benefit from recent achievements in

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Ambrasas, Gintautas, and Danielius Stankevičius. "AN ANALYSIS OF DWELLING MARKET IN VILNIUS, LITHUANIA." International Journal of Strategic Property Management 11, no. 4 (2007): 243–62. http://dx.doi.org/10.3846/1648715x.2007.9637572.

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The current situation in the real estate market in Lithuania is favourable for real estate developers. Dwelling prices in Vilnius are much lower than those in other EU member‐states. However, the rate of their increase is one of the highest in the European Union. At the end of 2003, one of the causes of the purchasing boom was the anticipated rise in real estate prices, when Lithuania was gradually integrating into the European Union. The growing income of the real estate sector and high profit attracted more and more companies to real estate market. But the situation in the real estate market

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Tang, Hua, Hui Min Li, and Tao Zhou. "Research on Xi'an Real Estate Market and National Economy Based on Spectral Analysis." Advanced Materials Research 368-373 (October 2011): 3083–87. http://dx.doi.org/10.4028/www.scientific.net/amr.368-373.3083.

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Cycle fluctuations have been identified which includes real estate investment, real estate consumption, real estate industry and national economy. Spectral analysis is applied in such research based on the statistical data from 1997 to 2010 of Xi’an. The mutual relation could be found between investment and price of Xi’an real estate referring that investment increases with the rise in house prices. Furthermore, a great deal of randomness has been shown in Xi'an real estate consumption which does little effect on the cycle of real estate price indicating real estate market in Xi'an is a seller

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Wang, Xue Li, and Shan Hua. "Influence Factors of Chinese Real Estate." Applied Mechanics and Materials 405-408 (September 2013): 3391–95. http://dx.doi.org/10.4028/www.scientific.net/amm.405-408.3391.

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This paper studied that the factors influencing Chinese real estate price. And that the land prices, the macroeconomic situation, the annual income of the households, the process of urbanization, the credit policy, the psychological expectations of consumers, the market investment or speculation, the governments regulation policy etc, Are all the influence factors of real estate prices. And the analysis results to develop appropriate policy recommendations for the healthy and sustainable development of the real estate market.

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Veuger, Jan. "Dutch blockchain, real estate and land registration." Journal of Property, Planning and Environmental Law 12, no. 2 (2020): 93–108. http://dx.doi.org/10.1108/jppel-11-2019-0053.

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Purpose A first exploration of the impact of blockchain on real estate in the Netherlands took place in 2017. In the follow-up, several blockchain and real estate studies have appeared with research on real estate and blockchain worldwide. In view of the previous research, the question remained as to what is now happening worldwide in the field of blockchain and real estate. This has resulted in the start-up of the Foundation for International Blockchain and Real Estate Expertise (FIBREE) network. This network has led to the launch of two investigations: Industry Report Blockchain Real Estate

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Ruan, Lian Fa, and Long Jiang Shen. "Coordination Degree Analysis of Real Estate Investment and the National Economy in China - Based on Principal Component Analysis Method." Advanced Materials Research 753-755 (August 2013): 2870–74. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.2870.

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Starting from six indicators like the ratio of the real estate investment growth and GDP growth etc., this article analyses the coordination degree of real estate investment and national economy with principal component analysis, and obtains the coordination index. Using 3σ method, the authors calculate the mean and standard deviation of the principal component indicator data, and then establish an early warning interval for real estate market . The results show that the real estate investment is a little excessive in recent years but the coordination degree between the real estate industry an

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Wolny, Ada. "Accessibility of Real Estate by Transportation as a Determinant of the Development of Suburban Real Estate Markets – Case Study." Real Estate Management and Valuation 24, no. 1 (2016): 5–18. http://dx.doi.org/10.1515/remav-2016-0001.

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Abstract The aim of this article is to show the accessibility of real estate by transportation as a factor that significantly determines the decision to acquire it. Direct access to a public road, or access to an internal road that provides communication with the public road, are a factor affecting the value of real estate. In addition, this factor is taken into account in the process of changing the function of the area, especially in determining zoning and land use. The decision of purchasing real estate often depends on transportation accessibility, because it has an impact on developing th

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