The Empirical Study on the Relationship between the Stock Market and the Real Estate Market in China

ICCREM 2017 ◽  
2017 ◽  
Author(s):  
Ling Chen ◽  
Huijing Huang ◽  
Wei Xu
Author(s):  
Guo Jianhua ◽  
Long Huidian

As two important constituents of China’s macro economy, there are a variety of relationships among China’s stock market, real estate market and its macro economy. In order to investigate these relationships, in this paper, especially with the Macroeconomic Boom Index reflecting China’s macro economy, we use cointegration theory and Granger analysis to demonstrate that there are long-term equilibrium relationship and bidirectional causality between the macro economy and the securities business, also between the macro economy and the real estate market, however, this kind of long-term Equilibrium relationship and bidirectional causality appears very weak.


2008 ◽  
Vol 23 (3) ◽  
pp. 429-455 ◽  
Author(s):  
PAOLO TEDESCHI

ABSTRACTThis article illustrates various characteristics of the real-estate market in Lumezzane, a village in the Lombard Prealps between the eighteenth and the nineteenth centuries. It reveals the types of property sold, the objectives of the buyers and sellers, the prices paid and, in some cases, the credit arrangements undertaken. The research indicates the relationship between the credit market and the type of manufacture in the region. Particular institutions, most notably religious foundations known as the Luoghi Pii, as well as private individuals, provided capital to artisans in the absence of banks. This availability of credit at favourable rates allowed artisans to produce manufactured goods at a competitive price even in difficult economic times. The importance of industry in the region both influenced strategies of inheritance and limited the need for the type of out-migration that characterized most Alpine regions during the period.


2020 ◽  
Vol 64 (8) ◽  
pp. 118-132
Author(s):  
Krzysztof Nowak

The real estate market and the stock market are two elements of the financial market. The objective of the article is to verify if there can be established the cause-and-effect relationships between these two markets in Poland. In order to realise that goal the author verified if quotations of the WIG Real Estate index are affected by the mean transaction price of new apartments in 10 voivodeship cities, the number of apartments with the official permit to inhabit, as well as the value and number of new mortgage loans. The relationships between the WIG Real Estate and two main stock indexes quoted on the Warsaw Stock Exchange were also examined. Three Vector Auto-Regression models were formulated, and a Granger causality test was conducted. The study revealed that only lags of the number of apartments put into use did not affect the WIG Real Estate. Moreover, the time series of the mean transaction price of new apartments impacts most on the WIG Real Estate


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.


2019 ◽  
Vol 12 (2) ◽  
pp. 330-348 ◽  
Author(s):  
Richa Pandey ◽  
V. Mary Jessica

Purpose The purpose of this study is to explain the relationship between behavioural biases, investment satisfaction and reinvestment intention considering the effect of evolutionary psychology. The study believes that biases are not at all times bad; sometimes, biases can assist the individual investor to select the top course of action and allow them to go for the less costly mistakes, thereby helping in achieving satisficing behaviour. Design/methodology/approach Data were collected using structured and a close-ended questionnaire from a sample of 560 respondents by using multi-stage stratified sampling method. PLS-SEM was used for preliminary validation of the questionnaire. Mediation model using the structural equation model (SEM) with the help of AMOS 20 was used for the analyses. Pre-requisite assumptions for SEM were checked by using sample characteristics. The study has three constructs with multiple items; hence, the instrument validation was done by measuring the construct validity and reliability using Cronbach’s alpha, exploratory factor analysis and confirmatory factor analysis with the help of SPSS 20 and AMOS 20. Findings The study confirms that behavioural biases influence investment decisions in the real estate market. Further, investment satisfaction is found to have a significant and complementary partial mediating effect. The positive mediating effect of investment satisfaction between behavioural biases and reinvestment intention shows that biases are natural tendencies in response to limit to learning which can be explained by evolutionary psychology. Research limitations/implications There are chances that the result obtained here is because of myopic decision-making behaviour in which the long-time horizon is not considered and behavioural biases, as well as evolutionary psychology, are adaptive, so the result may change in the long-time horizon, which seeks further investigations. The study talked about the relationship between behavioural biases, investment satisfaction and reinvestment intention; it will be interesting to bring some more constructs in this model, for example, investment intention and reinvestment behaviour; this can deliver a more precise picture in this regard. Practical implications Understanding such relationships will help in better clarity about the way investment is made. The study confirms that market behaviour in the real estate market is sub-optimal, which shows that there is an opportunity for attentive investors by trading and gathering on information. Real estate practitioners can get clues from market anomalies and investor phenomena; understanding these may suggest ways to use them in the market. Social implications Reforms in the housing sector do not only satisfy one of the basic needs but also leads to holistic economic development. Besides direct contribution, it contributes to social capital. Originality/value The study extends the current knowledge base about the relationship between behavioural biases, investment satisfaction and reinvestment intention. This study investigates the behavioural biases influencing the real estate market investment decisions of non-professional investors considering the effect of evolutionary psychology.


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