Chinese Real Estate Market Performance: Stock Market Linkages, Liquidity Pressures, and Inflationary Effects

2012 ◽  
Author(s):  
Richard C. K. Burdekin ◽  
Ran Tao
Keyword(s):  
Real Estate ◽  
Stock Market ◽  
Market Performance ◽  
Real Estate Market ◽  
Market Linkages

Linkages between cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles

2016 ◽  
Vol 9 (2) ◽  
pp. 123-146 ◽  
Author(s):  
Kim Hiang Liow
Keyword(s):  
Real Estate ◽  
Stock Market ◽  
Business Cycles ◽  
Spillover Effects ◽  
Real Estate Market ◽  
Stock Market Index ◽  
Content Type ◽  
Market Index ◽  
Cross Country ◽  
The Cross

Purpose This research aims to investigate whether and to what extent the co-movements of cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles are linked across G7 from February 1990 to June 2014. Design/methodology/approach The empirical approaches include correlation analysis on Hodrick–Prescott (HP) cycles, HP cycle return spillovers effects using Diebold and Yilmaz’s (2012) spillover index methodology, as well as Croux et al.’s (2001) dynamic correlation and cohesion methodology. Findings There are fairly strong cycle-return spillover effects between the cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles. The interactions among the cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles in G7 are less positively pronounced or exhibit counter-cyclical behavior at the traditional business cycle (medium-term) frequency band when “pure” stock market cycles are considered. Research limitations/implications The research is subject to the usual limitations concerning empirical research. Practical implications This study finds that real estate is an important factor in influencing the degree and behavior of the relationship between cross-country business cycles and cross-country stock market cycles in G7. It provides important empirical insights for portfolio investors to understand and forecast the differential benefits and pitfalls of portfolio diversification in the long-, medium- and short-cycle horizons, as well as for research studying the linkages between the real economy and financial sectors. Originality/value In adding to the existing body of knowledge concerning economic globalization and financial market interdependence, this study evaluates the linkages between business cycles, stock market cycles and public real estate market cycles cross G7 and adds to the academic real estate literature. Because public real estate market is a subset of stock market, our approach is to use an original stock market index, as well as a “pure” stock market index (with the influence of real estate market removed) to offer additional empirical insights from two key complementary perspectives.

scholarly journals The investigation of the dynamic linkages between real estate market and stock market in Greece

2018 ◽  
Vol 25 (7) ◽  
pp. 647-669 ◽  
Author(s):  
Dimitrios Gounopoulos ◽  
Kyriaki Kosmidou ◽  
Dimitrios Kousenidis ◽  
Victoria Patsika
Keyword(s):  
Real Estate ◽  
Stock Market ◽  
Real Estate Market ◽  
Dynamic Linkages

Chinese Real Estate Market Performance

2014 ◽  
Vol 47 (2) ◽  
pp. 5-26 ◽  
Author(s):  
Richard C. K. Burdekin ◽  
Ran Tao
Keyword(s):  
Real Estate ◽  
Market Performance ◽  
Real Estate Market

scholarly journals Investigation of the Linkage among China’s Macroeconomy, Stock Market and Real Estate Market

2013 ◽  
Vol 2 (2) ◽  
pp. 1-7
Author(s):  
Guo Jianhua ◽  
Long Huidian
Keyword(s):  
Real Estate ◽  
Stock Market ◽  
Real Estate Market ◽  
The Real ◽  
The Real Estate ◽  
Equilibrium Relationship ◽  
The Real Estate Market ◽  
Securities Business

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.

scholarly journals Listing of Developer Companies as a Predictor of the Situation on the Residential Real Estate Market

2018 ◽  
Vol 26 (4) ◽  
pp. 12-21
Author(s):  
Rafal Wolski
Keyword(s):  
Real Estate ◽  
Stock Market ◽  
Housing Market ◽  
Stock Exchange ◽  
Real Estate Market ◽  
Residential Real Estate ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Secondary Housing Market

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.

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