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Random walks, cointegration, and the transmission of shocks across global real estate and equity markets

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  • James Payne

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  • Anandi Sahu

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Abstract

This article presents tests of the random walk hypothesis for the U.S. and world commercial real estate markets along with the world stock market through utilizing appropriate market indices. The augmented Dickey-Fuller and Phillips-Perron unit root tests and Cochrane variance ratio test find each of these markets to exhibit random walk behavior. In addition, Johansen-Juselius cointegration tests reveal that the three markets are not cointegrated. The vector autoregressive model shows little or no predictive power in explaining the variation in monthly returns. The generalized impulse response functions suggest that shocks stemming from one market are quickly disseminated to the other markets within two months. (JEL G14, G15) Copyright Springer 2004

Suggested Citation

  • 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.
  • Handle: RePEc:spr:jecfin:v:28:y:2004:i:2:p:198-210
    DOI: 10.1007/BF02761611
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    File URL: http://hdl.handle.net/10.1007/BF02761611
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    References listed on IDEAS

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    1. Sephton, Peter S. & Larsen, Hans K., 1991. "Tests of exchange market efficiency: fragile evidence from cointegration tests," Journal of International Money and Finance, Elsevier, vol. 10(4), pages 561-570, December.
    2. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    3. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    4. Graeme Newell & James R. Webb, 1996. "Assessing Risk for International Real Estate Investments," Journal of Real Estate Research, American Real Estate Society, vol. 11(2), pages 103-116.
    5. Patrick J. Wilson & John Okunev, 1999. "Long-Term Dependencies and Long Run non-Periodic Co-Cycles: Real Estate and Stock Markets," Journal of Real Estate Research, American Real Estate Society, vol. 18(2), pages 257-278.
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    Cited by:

    1. repec:pje:journl:article10ii is not listed on IDEAS
    2. 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.
    3. Jorge Belaire-Franch & Kwaku Opong, 2013. "A Time Series Analysis of U.K. Construction and Real Estate Indices," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 516-542, April.
    4. Chen, Shyh-Wei & Shen, Chung-Hua, 2012. "Examining the stochastic behavior of REIT returns: Evidence from the regime switching approach," Economic Modelling, Elsevier, vol. 29(2), pages 291-298.
    5. Nafeesa Yunus, 2013. "Dynamic interactions among property types: International evidence based on cointegration tests," Journal of Property Investment & Finance, Emerald Group Publishing, vol. 31(2), pages 135-159, March.

    More about this item

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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