Research on Supply and Demand of Xi'an Real Estate Market

2011 ◽  
Vol 368-373 ◽  
pp. 3078-3082
Author(s):  
Zhou Ji Meng ◽  
Tao Zhou ◽  
Shu Hua Gao
Keyword(s):  
Principal Component Analysis ◽  
Spectral Analysis ◽  
Real Estate ◽  
Spectral Density ◽  
Supply And Demand ◽  
Principal Component ◽  
Real Estate Market ◽  
Medium Term ◽  
Real Estate Price ◽  
Synthetic Indicators

In the passage, the indicators of supply and demand of real estate market in Xi'an are established, and such indicators are synthesized into a class of synthetic indicators using “principal component analysis”. After the spectral analysis of synthetic indicators, periodic change of supply and demand of real estate through spectral density could be determined. Through the analysis, great randomness existed in supply and demand of real estate in Xi’an. Furthermore, in the medium term, a 3.3 years’ secondary cycle still existed in synthetic indicators of demand, while randomness existed in synthetic indicators of supply. Such findings suggest a declined trend existed in real estate price in medium term of Xi’an.

Research on Xi'an Real Estate Market and National Economy Based on Spectral Analysis

2011 ◽  
Vol 368-373 ◽  
pp. 3083-3087
Author(s):  
Hua Tang ◽  
Hui Min Li ◽  
Tao Zhou
Keyword(s):  
Spectral Analysis ◽  
Real Estate ◽  
National Economy ◽  
Statistical Data ◽  
House Prices ◽  
Real Estate Market ◽  
Real Estate Industry ◽  
Real Estate Investment ◽  
Real Estate Price ◽  
Periodic Fluctuations

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's market. At the same time, due to the fluctuation cycle of national economy in Xi’an is more than 12 years; the periodic fluctuations of national economy cannot be deduced from the periodic fluctuations of real estate in Xi’an.

Coordination Degree Analysis of Real Estate Investment and the National Economy in China - Based on Principal Component Analysis Method

2013 ◽  
Vol 753-755 ◽  
pp. 2870-2874
Author(s):  
Lian Fa Ruan ◽  
Long Jiang Shen
Keyword(s):  
Principal Component Analysis ◽  
Real Estate ◽  
National Economy ◽  
Principal Component ◽  
Component Analysis ◽  
Real Estate Market ◽  
Real Estate Investment ◽  
The Real ◽  
The Real Estate ◽  
Coordination Degree

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 and the national economy is generally stable in China. Further investigations indicate that the change of the coordination index of the commercial housing sub-market is consistent with the whole commercial building market, but the one of the non-residential building is opposite to the total CB's.

Temporal and spatial assessment of the residential real estate market in local terms

2017 ◽  
Vol 62 (7) ◽  
pp. 42-60
Author(s):  
Anna Oleńczuk-Paszel ◽  
Agnieszka Sompolska-Rzechuła
Keyword(s):  
Principal Component Analysis ◽  
Real Estate ◽  
Principal Component ◽  
Real Estate Market ◽  
Linear Ordering ◽  
Residential Real Estate ◽  
The West ◽  
Basic Goods ◽  
Diagnostic Characteristics ◽  
Temporal And Spatial

Residential real estate as basic goods, satisfy higher needs, which determines their role in every sphere of the society and state functioning. The purpose of the research is to compare a potential of the residential real estate market in the powiats of the West Pomeranian voivodship in years 2006, 2010 and 2014. A linear ordering method was used for this purpose, and the principal component analysis was applied for the characteristics selection. Based on the five diagnostic characteristics adopted in the research, it has been was shown that the potential of the residential real estate market in the powiats of the West Pomeranian voivodship is strongly diversified. It is reflected in the rankings presented in the article. Moderate compliance was found for 2006 and 2010.

Content Strategy in Management of Communications

2021 ◽  
Vol 12 (3) ◽  
pp. s232-s242
Author(s):  
Olha Balabash ◽  
Valerii Ilin ◽  
Nataliia Poprozman ◽  
Inna Kuznetsova ◽  
Dmytro Shushpanov ◽  
...  
Keyword(s):  
Real Estate ◽  
Supply And Demand ◽  
Real Estate Market ◽  
The Real ◽  
The Real Estate ◽  
Construction Company ◽  
The Real Estate Market ◽  
Content Strategy ◽  
Alternative Sources ◽  
The Web

The aim of the article is to substantiate the theoretical and methodological support for the formation and implementation of the content strategy of a construction company.  The article considers the formation of content strategy, its place in the management of communications of the enterprise. The following methods were used in the course of the research: the method of statistical analysis (for the analysis of the tendency of the real estate market development of Ukraine); analysis, synthesis, logical and theoretical generalization – to specify the factors of supply and demand in the real estate market; graphical method, table method (to visualize the results of the study); method of calculating specific indicators of communicative activity (CPC (Cost Per Click), CPA (Cost Per Action), CTR (Click Through Rate)) for analysing trends in traffic to the company's website and identifying alternative sources of traffic. The specifics of developing a content strategy taking into account the peculiarities of the company's construction industry are shown. An analysis of trends in the real estate market of Ukraine is carried out based on official statistics. The dynamics of the volume of construction works is analysed, the housing price indices in Ukraine are determined and the factors of supply and demand in the real estate market are specified. The analysis of communicative efficiency of the web-system of the construction company is carried out, as a result of which, measures for improvement of management of its external communications by substantiation of variants of advancement on the Internet are developed. This is done by analysing trends in traffic to the company's website and identifying alternative sources of traffic. The developed measures will increase the efficiency of management of the construction company. The article proposed a procedure for analysing the web-system of a construction company based on attendance indicators and search activity, which allows identifying alternative sources of traffic and developing appropriate measures to manage communications of the enterprise in order to achieve their efficiency. The practical significance lies in the fact that the developed recommendations for the formation of the communication strategy of the construction company can be further used to intensify the promotion of the company's services in the real estate market and attract investment.

Data Analysis on the Influencing Factors of the Real Estate Price

2021 ◽  
pp. 52-66
Author(s):  
Huang-Mei He ◽  
Yi Chen ◽  
Jia-Ying Xiao ◽  
Xue-Qing Chen ◽  
Zne-Jung Lee
Keyword(s):  
Data Analysis ◽  
Real Estate ◽  
Influencing Factors ◽  
Real Estate Market ◽  
Training Data ◽  
Market Demand ◽  
Data Set ◽  
The Real ◽  
The Real Estate ◽  
Real Estate Price

China has carried out a large number of real estate market reforms that change the real estate market demand considerably. At the same time, the real estate price has soared in some cities and has surpassed the spending power of many ordinary people. As the real estate price has received widespread attention from society, it is important to understand what factors affect the real estate price. Therefore, we propose a data analysis method for finding out the influencing factors of real estate prices. The method performs data cleaning and conversion on the used data first. To discretize the real estate price, we use the mean ± standard deviation (SD), mean ± 0.5 SD, and mean ± 2 SD of the price and divide it into three categories as the output variable. Then, we establish the decision tree and random forest model for six different situations for comparison. When the data set is divided into training data (70%) and testing data (30%), it has the highest testing accuracy. In addition, by observing the importance of each input variable, it is found that the main influencing factors of real estate price are cost, interior decoration, location, and status. The results suggest that both the real estate industry and buyers should pay attention to these factors to adjust or purchase real estate.

scholarly journals Level of Foreign Direct Investments and Transparency of Polish and Global Real Estate Market

2013 ◽  
Vol 21 (2) ◽  
pp. 22-28 ◽  
Author(s):  
Karolina Czechowska
Keyword(s):  
Real Estate ◽  
Supply And Demand ◽  
Real Estate Market ◽  
Easy Access ◽  
Foreign Direct Investments ◽  
The Real ◽  
The Real Estate ◽  
Market Transparency ◽  
Property Prices ◽  
The Real Estate Market

Abstract The article aimed to present the dependencies between the transparency of the real estate market and the level of foreign investments realized on it. For developers on the real estate market, a key element, other than potential profits, may be the market’s transparency. The main feature of a transparent real estate market is easy access to credible data concerning supply and demand, rent, property prices, transactions, vacant houses and capitalization rates that could be the basis for analysis. Market transparency does not guarantee the success of an investment, but considerably influences investment decisions and the level of risk connected with them.

scholarly journals Assessing the Possibility of Implementing Tools of Technical Analysys for Real Estate Market Analysis

2016 ◽  
Vol 24 (2) ◽  
pp. 85-96
Author(s):  
Justyna Brzezicka
Keyword(s):  
Real Estate ◽  
Capital Market ◽  
Traditional Approach ◽  
Supply And Demand ◽  
Technical Analysis ◽  
Real Estate Market ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
The Capital Market

Abstract Technical analysis (TA) and its different aspects are widely used to study the capital market. In the traditional approach, this analysis is used to determine the probability of changes in current rates on the basis of their past changes, accounting for factors which had, have or may have an influence on shaping the supply and demand of a given asset. In the practical sense, TA is a set of techniques used for assessing the value of an asset based on the analysis of the asset's trajectories as well as statistical tools. The work assumes three research objectives: 1) a review of tools applied in technical analysis, 2) an attempt at implementing selected tools of technical analysis for analyzing the real estate market (REM), 3) an assessment of the possibilities of implementing selected tools for assessing the real estate market on the example of the Olsztyn residential real estate market. The research hypothesis is a presumption regarding the possibility of implementing tools used in traditional technical analysis for the analysis of the real estate market accounting for the natural limitations and specifics of the market. The work extends scientific achievements in the part regarding the methods and tools of analyzing the real estate market as well as the connections between the real estate market and the capital market.

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