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Stationarity and Co-Integration in Systems with Three National Real Estate Indices

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Abstract

This study examines the stochastic properties of the commercial real estate wealth indices for three countries (the U.S., Canada, and the U.K.) and for several property types (aggregate, office, retail, and industrial). Each of the indices is tested for a unit root and all series are found to be nonstationary. Furthermore, all indices also indicate the presence of both drift and trend. The results are strongest when the indices are tested in real estate and exchange rate-adjusted form. Application of Johansen's model indicates that the system for the three countries shows evidence of co-integration for the aggregate, retail, office, and industrial properties. Again, the evidence is the strongest when the indices are tested in real and exchange rate-adjusted form. Hence, it is conceivable that inflationary expectations may be the factor that provides the common linkage between commercial real estate across national boundaries.

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  • F.C. Neil Myer & Mukesh K. Chaudhry & James R. Webb, 1997. "Stationarity and Co-Integration in Systems with Three National Real Estate Indices," Journal of Real Estate Research, American Real Estate Society, vol. 13(3), pages 369-381.
    • Handle: RePEc:jre:issued:v:13:n:3:1997:p:369-381
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    1. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    2. Muscatelli, Vito Antonio & Hurn, A Stan, 1992. "Cointegration and Dynamic Time Series Models," Journal of Economic Surveys, Wiley Blackwell, vol. 6(1), pages 1-43.
    3. Barry Eichengreen., 1992. "Three Perspectives on the Bretton Woods System," Economics Working Papers 92-191, University of California at Berkeley.
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    5. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    6. Ross, Stephen A & Zisler, Randall C, 1991. "Risk and Return in Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 4(2), pages 175-190, June.
    7. Bruce Kasman & Charles Pigott, 1988. "Interest rate divergences among the major industrial nations," Quarterly Review, Federal Reserve Bank of New York, vol. 13(Aut), pages 28-44.
    8. Lawrence J. Radecki & Vincent Reinhart, 1988. "The globalization of financial markets and the effectiveness of monetary policy instruments," Quarterly Review, Federal Reserve Bank of New York, vol. 13(Aut), pages 18-27.
    9. Engle, Robert F. & Yoo, Byung Sam, 1987. "Forecasting and testing in co-integrated systems," Journal of Econometrics, Elsevier, vol. 35(1), pages 143-159, May.
    10. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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    1. Gerlach, Richard & Wilson, Patrick & Zurbruegg, Ralf, 2006. "Structural breaks and diversification: The impact of the 1997 Asian financial crisis on the integration of Asia-Pacific real estate markets," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 974-991, October.
    2. Oikarinen, Elias, 2006. "Price Linkages between Stock, Bond and Housing Markets - Evidence from Finnish Data," Discussion Papers 1004, The Research Institute of the Finnish Economy.
    3. Nafeesa Yunus, 2009. "Increasing Convergence Between U.S. and International Securitized Property Markets: Evidence Based on Cointegration Tests," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 37(3), pages 383-411, September.
    4. Pat Wilson & Ralf Zurbruegg, 2003. "International Diversification of Real Estate Assets - Is it Worth It? Evidence from the Literature," Working Paper Series 126, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    5. John Gallo & Ying Zhang, 2010. "Global Property Market Diversification," The Journal of Real Estate Finance and Economics, Springer, vol. 41(4), pages 458-485, November.
    6. James Payne & Hassan Mohammadi, 2004. "The transmission of shocks across real estate investment trust (REIT) markets," Applied Financial Economics, Taylor & Francis Journals, vol. 14(17), pages 1211-1217.
    7. James Payne & Anandi Sahu, 2004. "Random walks, cointegration, and the transmission of shocks across global real estate and equity markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 28(2), pages 198-210, June.
    8. Al-Mohana, Safa & Hatemi-J, Abdulnasser, 2016. "The Impact of Recent Crisis on the Real Estate Market on the UAE: Evidence from Asymmetric Methods," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 69(4), pages 389-428.
    9. Robert T. Kleiman & James E. Payne & Anandi P. Sahu, 2002. "Random Walks and Market Efficiency: Evidence from International Real Estate Markets," Journal of Real Estate Research, American Real Estate Society, vol. 24(3), pages 279-298.
    10. Nafeesa Yunus & J. Hansz & Paul Kennedy, 2012. "Dynamic Interactions Between Private and Public Real Estate Markets: Some International Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 1021-1040, November.
    11. Ata Assaf, 2006. "Canadian REITs and Stock Prices: Fractional Cointegration and Long Memory," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 441-462.
    12. John G. Gallo & Larry J. Lockwood & Ying Zhang, 2013. "Structuring Global Property Portfolios: A Cointegration Approach," Journal of Real Estate Research, American Real Estate Society, vol. 35(1), pages 53-82.
    13. Paul Gallimore & J. Andrew Hansz & Wikrom Prombutr & Ying Zhang, 2014. "Long-term Cointegrative and Short-term Causal Relations among U.S. Real Estate Sectors," International Real Estate Review, Asian Real Estate Society, vol. 17(3), pages 359-394.
    14. Paul Gallimore & J. Andrew Hansz & Wikrom Prombutr & Ying Zhang, 2014. "Long-term Cointegrative and Short-term Causal Relations among U.S. Real Estate Sectors," International Real Estate Review, Global Social Science Institute, vol. 17(3), pages 359-394.
    15. Nafeesa Yunus & Peggy Swanson, 2007. "Modelling Linkages between US and Asia‐Pacific Securitized Property Markets," Journal of Property Research, Taylor & Francis Journals, vol. 24(2), pages 95-122.
    16. John L. Glascock & Wikrom Prombutr & Ying Zhang & Tingyu Zhou, 2018. "Can Investors Hold More Real Estate? Evidence from Statistical Properties of Listed REIT versus Non-REIT Property Companies in the U.S," The Journal of Real Estate Finance and Economics, Springer, vol. 56(2), pages 274-302, February.
    17. J. Andrew Hansz & Wikrom Prombutr & Ying Zhang & Tingyu Zhou, 2017. "An Anatomy of the Interrelationship between Equity and Mortgage REITs," International Real Estate Review, Global Social Science Institute, vol. 20(3), pages 287-324.
    18. Anupam Nanda & Jia-Huey Yeh, 2016. "International Transmission Mechanisms and Contagion in Housing Markets," The World Economy, Wiley Blackwell, vol. 39(7), pages 1005-1024, July.

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    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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