scholarly journals Testing for the Statistical Interrelationship between the Real Estate and the Stock Markets

2008 ◽  
Vol 21 (3) ◽  
pp. 497-508 ◽  
Author(s):  
Tae-Ho Kim
2014 ◽  
Vol 17 (2) ◽  
pp. 157-202
Author(s):  
Kim Hiang Liow ◽  
◽  
Felix Schindler ◽  

The primary contribution of this study is to comprehensively assess whether public real estate and stock markets are linked at the local, regional, and global levels, and assess the evolution of their dynamic relationship and gradual integration during the last two decades. For individual pairs of real estate and stock markets, our analysis shows that the current levels of local, regional, and global correlations between real estate and stock markets are time-varying, and at most, moderate at the respective integration levels. The real estate and stock markets are both contemporaneously and causally linked in their returns and volatilities; however, the causality relationship appears weaker. In the long run, the real estate markets have slowly become more integrated with the global and regional stock markets, while less integrated with the local stock markets. In addition, the extracted common factors allow for a direct assessment of the dynamic relationships between the real estate and stock markets as a group, and thereby complement the individual results. Finally, there appears to be a declining real estate and stock return dispersion and differential at the local, regional, and global levels for all nine economies studied in this research work, which indicate a tendency of return convergence between real estate and stock markets in the international environment.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Imran Yousaf ◽  
Shoaib Ali

Purpose This study aims to empirically examine the relationship between real estate and stock market of Pakistan. Design/methodology/approach The data of two real estate indices (house price index and plot price index) are taken for the Pakistan and its four big cities, i.e. Lahore, Karachi, Rawalpindi and Islamabad. It estimates the integration between series by applying the Johansen cointegration test. Moreover, the vector error correction model is applied to examine the short and long-run causal relationships between series. Findings The findings show that the real estate markets are cointegrated with the stock market. They imply that the real estate and stock markets are good substitutes in investment allocation, but investors cannot get the benefit of diversification by making a portfolio of real estate and stock markets in Pakistan. Moreover, the long-run causality is observed from majority house markets to the stock market, whereas short-run causality is evident from majority plot markets to the stock market. Hence, the real estate market leads the stock market in the short run and long run, suggesting the credit-price effect in the majority of real estate markets in Pakistan. These causality results are helpful for investors in the forecasting of real estate and stock markets in Pakistan. Research limitations/implications The limitation of the study is the lower number of observations (107), because house and land prices are only available in monthly frequency from January 2011 in Pakistan. Originality/value To the best of the authors’ knowledge, no researcher has investigated the real estate and stock market nexus in Pakistan. Therefore, this study focuses on examining the relationship between the real estate and stock market of Pakistan. The link between real estate and stock markets will provide useful insights to the portfolio managers, real estate companies, property agents, stockbrokers and investors.


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