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Dynamic interactions among property types: International evidence based on cointegration tests

Listed author(s):
  • Nafeesa Yunus
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    Purpose - The aim of the study is to utilize cointegration techniques and analyze the degree of linkages among four key property types (retail, office, industrial, and residential) of eight major countries throughout North America and Europe. Additionally, the study evaluates whether investors can attain greater diversification benefits by investing across specific property sectors within their own nations in the long-run. Finally, the study examines whether certain property sectors can be considered the “leader” that drives the remaining sectors over time. Design/methodology/approach - Multivariate cointegration tests developed by Johansen and Johansen and Juselius are utilized to evaluate whether long-run equilibrium relationship(s) exist among the four property sectors. If evidence of cointegration is found, hypothesis tests are implemented to separate out the markets that can be excluded from the cointegrating relationships and to identify the markets that are the sources of the common trends (weakly exogenous), respectively. Findings - Long-run cointegration results indicate that the four property sectors of the USA, Canada, Netherlands, and the UK have fully converged implying limited diversification possibilities. The property sectors of Finland, France, Germany and Sweden, however, have only partially converged. Further analysis reveals that for these four countries, the industrial sectors provide the greatest long-run diversification benefits. Finally, weak exogeneity tests indicate that for an overwhelming majority of the countries under consideration, the residential sectors are the sources of the common stochastic trends, that “lead” the remaining property types towards the long-run equilibrium relationships. Practical implications - The conclusions from this study should be beneficial to investors, portfolio managers, pension fund managers and other institutional investors in the USA and abroad who are contemplating to invest across property sectors within their own countries in making more informed portfolio allocation decisions. The findings also highlight the importance of implementing time-series econometric techniques to accurately and appropriately model interactions among property sectors over time. Originality/value - This is one of the few studies that utilize modern-day timeseries techniques to analyze the dynamic interactions among the property sectors of eight major nations throughout North America and Europe. Prior studies, have been limited to modeling interrelationships between the property sectors of the USA and UK, with little attention given to other major real estate markets.

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    Article provided by Emerald Group Publishing in its journal Journal of Property Investment & Finance.

    Volume (Year): 31 (2013)
    Issue (Month): 2 (March)
    Pages: 135-159

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    Handle: RePEc:eme:jpifpp:v:31:y:2013:i:2:p:135-159
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