Skip to main content
Log in

Dynamic Linkages Among U.S. Real Estate Sectors Before and After the Housing Crisis

  • Published:
The Journal of Real Estate Finance and Economics Aims and scope Submit manuscript

Abstract

This study explores the dynamic nature of linkages among seven key real estate sectors which include residential, health, lodging-resort, storage, office, retail and industrial. Long-run results reveal evidence of increased integration and contagion across the real estate sectors in the wake of the housing crisis. Short-run analyses suggest bi-directional causality and indicate that shocks to one real estate sector have a much more severe and persistent impact on other real estate sectors during the post-crisis period in comparison to the pre-crisis period. Finally, ripple effects are observed across the real estate sectors with shocks emanating from the ``dominant” residential sector and spilling over to other real estate sectors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. Hamao et al. (1990), King and Wadhwani (1990), Sheng and Tu (2000), Forbes and Rigobon (2002) Rezayat and Yavas (2006), Chiou (2009), Dooley and Hutchison (2009), Chan et al. (2011), Guo et al. (2011), and Khaled et al. (2011) among others.

  2. We thank an anonymous referee immensely for bringing up this crucial point.

  3. See for instance Long and Plosser (1987), Durlauf (1989), Engle and Issler (1995), Case et al. (2000), Hamelink et al. (2000), MacGregor and Schwann (2003) and Francis and Ibbotson (2009) among others.

  4. The list of hypothesis tests appear after the methodology section.

  5. See for instance Dooley and Hutchison (2009), Chan et al. (2011), Guo et al. (2011), Kenourgios et al. (2011) and Khaled et al. (2011) among others.

  6. It is important to note that a handful of studies have also found that greater diversification benefits can be achieved across regions. See for instance Mueller and Ziering (1992) and Mueller (1993) among others.

  7. Detailed description is freely available in the ``Ground Rules for Management of the FTSE EPRA/NAREIT Global Real Estate Index series” version November 2014, pages 38–39.

  8. Detailed explanations of the Dickey Fuller tests can be found in Dickey and Fuller (1979, 1981).

  9. We thank an anonymous referee profusely for making this important point.

  10. Details of the mean-variance spanning tests, can be found in DeRoon and Nijman (2001), Kan and Zhou (2001), Chen et al. (2005), Switzer and Fan (2007) and Kan and Zhou (2012) among others.

  11. Many studies in the literature have ignored this second potential source of causality that is causality through the ECT(s).

  12. These results are available upon request.

  13. Data have been provided by CEIC and the FRED.

  14. See for instance Chen et al. (2005) and Switzer and Fan (2007) among others who used similar benchmark and who perform the spanning regressions in a similar fashion.

  15. Data have been provided by CEIC and the FRED.

  16. See for instance Chen et al. (2005) and Chiang and Lee (2007) among others who use similar benchmark.

  17. Since the results of the spanning tests yielded inconclusive results when stocks and bonds were added to the benchmark, we evaluate, whether or how the addition of stocks and bonds affect the cointegration test results. Thus, separate cointegration tests are conducted to analyze the long-run linkages among financial assets and property sectors. The results indicate that the number of cointegrating vectors increased when stock market indexes are added and even more so when bond market indexes are included. However, the addition of stock and bond market indexes does not change the inference or the implications of the cointegration results from a portfolio diversification point of view. These results are not reported due to brevity purposes but are available upon request.

  18. Granger and Newbold (1974), Enders (1995), Hamilton (1994), Hendry (1995), Alexander (2001), Phylaktis and Ravazzolo (2005), Syriopoulos (2006) and Alexakis (2010).

References

  • Addae-Dapaah, K., & Yong, C. C. (2000). Diversification of real estate investment in the Asia- Pacific region. Pacific Rim Property Research Journal, 6, 31–45.

    Article  Google Scholar 

  • Alexander, C. (2001). Market models: A guide to financial data analysis. New York: J. Wiley and Sons.

    Google Scholar 

  • Alexakis, C. (2010). Long-run relations among equity indices under different market conditions: Implications on the implementation of statistical arbitrage strategies. Journal of International Financial Markets, Institutions & Money, 20, 389–403.

    Article  Google Scholar 

  • Alexander, C., & Dimitriu, A. (2005). Indexing, cointegration and equity market regimes. International Journal of Finance and Economics, 10, 1–19.

    Article  Google Scholar 

  • Ang, A., Hodrick, B., Xing, Z., & Zhang, X. (2006). The cross-section of volatility and expected returns. Journal of Finance, 63, 259–299.

    Article  Google Scholar 

  • Ang, A., Hodrick, B., Xing, Z., & Zhang, X. (2009). High idiosyncratic volatility and low returns. Journal of Financial Economics, 91, 1–23.

    Article  Google Scholar 

  • Ashworth, J., & Parker, S. C. (1997). Modelling regional house prices in the UK. Scottish Journal of Political Economy, 44, 225–246.

    Article  Google Scholar 

  • Bates, L. J., Giaccotto, C., & Santerre, R. E. (2015). Is the real estate sector more responsive to economy-wide or housing market conditions? An exploratory analysis. Journal of Real Estate Finance and Economics, 51, 541–554.

    Article  Google Scholar 

  • Bernard, A., & Durlauf, S. (1995). Convergence in international output. Journal of Applied Economics, 10, 1072–1085.

    Google Scholar 

  • Blitz, D., Pang, J., & Van Vliet, P. (2013). The volatility effect in emerging markets. Emerging Markets Review, 16, 31–45.

    Article  Google Scholar 

  • Case, B., Goetzmann, W., Rouwenhorst, K.G. (2000). Global real estate markets cycles and fundamentals. NBER Working Paper Series Paper No. 7566.

  • Chan, K. F., Treepongkaruna, S., Brooks, R., & Gray, S. (2011). Asset market linkages, Evidence from financial, commodity and real estate assets. Journal of Banking & Finance, 35, 1415–1426.

    Article  Google Scholar 

  • Chen, H., Ho, K., Lu, C., & Wu, C. (2005). An asset allocation perspective of real estate: The case of real estate investment trusts. Journal of Portfolio Management, 32, 46–55.

    Article  Google Scholar 

  • Chiang, K., & Lee, K. M. N. (2007). Spanning tests on public and private real estate. Journal of Real Estate Portfolio Management, 13, 7–15.

    Google Scholar 

  • Chiou, W. P. (2009). Benefits of international diversification with investment constraints: An over-time perspective. Journal of Multinational Financial Management, 19, 93–110.

    Article  Google Scholar 

  • Clark, S. P., & Coggin, T. D. (2009). Trends, cycles and convergence in U.S. regional house prices. Journal of Real Estate Finance and Economics, 39, 264–283.

    Article  Google Scholar 

  • Clark, S. P., & Coggin, T. D. (2011). Was there a U.S. house price bubble? An econometric analysis using national and regional panel data. The Quarterly Review of Economics and Finance, 51, 189–200.

    Article  Google Scholar 

  • Cook, S. (2003). The convergence of regional house prices in the UK. Urban Studies, 40, 2285–2294.

    Article  Google Scholar 

  • Darrat, A. F., & Glascock, J. L. (1993). On the real estate market efficiency. The Journal of Real Estate Finance and Economics, 7, 55–72.

    Article  Google Scholar 

  • DeRoon, F. A., & Nijnian, T. E. (2001). Testing for mean-variance spanning, A survey. Journal of Empirical Finance, 8, 111–155.

    Article  Google Scholar 

  • Dickey, D., & Fuller, W. A. (1979). Distribution of the estimate for autoregressive time series with a unit root. Journal of the American Statistical Association, 74, 427--431.

  • Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49, 1057–1072.

    Article  Google Scholar 

  • Dooley, M., & Hutchison, M. (2009). Transmission of the U.S. subprime crisis to emerging markets, Evidence on the decoupling recoupling hypothesis. Journal of International Money and Finance, 28, 1331–1349.

    Article  Google Scholar 

  • Durlauf, S. N. (1989). Output persistence, economic structure, and the choice of stabilization policy. Brookings Papers in Economic Activity, 2, 69–136.

    Article  Google Scholar 

  • Enders, W. (1995). Applied Econometric Time Series. New York: J. Wiley and Sons.

    Google Scholar 

  • Eichholtz, P. M. A., Hoesli, M., MacGregor, B. D., & Nanthakumaran, N. (1995). Real estate diversification by property type and region. Journal of Property Finance, 6, 39–59.

    Article  Google Scholar 

  • Elliott, G. T., Rothenberg, J., & Stock, G. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64, 813–836.

    Article  Google Scholar 

  • Engle, R. F., & Issler, J. V. (1995). Estimating common sectoral cycles. Journal of Monetary Economics, 35, 83–113.

    Article  Google Scholar 

  • Fisher, J. D., & Liang, Y. (2000). Is sector diversification more important than regional diversification? Real Estate Finance, 17, 35–59.

    Google Scholar 

  • Forbes, K., & Rigobon, R. (2002). No contagion, only interdependence, measuring stock market comovements. Journal of Finance, 57, 2223–2261.

    Article  Google Scholar 

  • Francis, J., & Ibbotson, R. (2009). Contrasting real estate with comparable investments, 1978 to 2008. The Journal of Portfolio Management, 36, 141–155.

    Article  Google Scholar 

  • Glascock, J. L., & Kelly, L. J. (2007). The relative effect of property type and country factors in reduction of risk of internationally diversified real estate portfolios. Journal of Real Estate Finanance and Economics, 34, 369–384.

    Article  Google Scholar 

  • Granger, C. W. J., & Newbold, P. (1974). Spurious regressions in economics. Journal of Econometrics, 2, 11–20.

    Article  Google Scholar 

  • Granger, C. W. J. (1988). Some recent developments in the concept of causality. Journal of Econometrics, 39, 199–211.

    Article  Google Scholar 

  • Guo, F., Chen, C. R., & Huang, Y. S. (2011). Markets contagion during financial crisis, A regime-switching approach. International Review of Economics and Finance, 20, 95–109.

    Article  Google Scholar 

  • Hamilton, J. D. (1994). Time series analysis. Princeton: Princeton University Press.

    Google Scholar 

  • Hamao, Y., Masulis, R. W., & Ng, V. (1990). Correlations in price changes and volatility across international stock markets. Review of Financial Studies, 3, 281–308.

    Article  Google Scholar 

  • Hamelink, F., Hoesli, M., Lizieri, C., & MacGregor, B. D. (2000). Homogeneous commercial property markets groupings and portfolio construction in the United Kingdom. Environment and Planning, 32, 323–344.

    Article  Google Scholar 

  • Haug, A. A. M., MacKinnon, J. G., & Micehlis, L. (2000). European monetary union: A cointegration analysis. Journal of International Money and Finance, 19, 419–432.

    Article  Google Scholar 

  • Hendry, D. F. (1995). Dynamic econometrics. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Huberman, G., & Kandel, S. (1987). Mean-variance spanning. Journal of Finance, 42, 873–888.

    Article  Google Scholar 

  • Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12, 231–254.

    Article  Google Scholar 

  • Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration with applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52, 169–210.

    Article  Google Scholar 

  • Kan, R., & Zhou, G. (2001). Test of mean-variance spanning. Working Paper, University of Toronto.

  • Kan, R., & Zhou, G. (2012). Tests of mean-variance spanning. Annals of Economics and Finance, 13, 145–193.

    Google Scholar 

  • Khaled, A., Taamoutib, A., & Tsafacka, G. (2011). What drives international equity correlations? Volatility or market direction? Journal of International Money and Finance, 30, 1234–1263.

    Article  Google Scholar 

  • Kasa, K. (1992). Common stochastic trends in international stock markets. Journal of Monetary Economics, 29, 95–124.

    Article  Google Scholar 

  • Kenourgios, D., Samitas, A., & Paltalidis, N. (2011). Financial crises and stock market contagion in a multivariate time-varying asymmetric framework. Journal of International Financial Markets, Institutions & Money, 21, 92–106.

    Article  Google Scholar 

  • King, M., & Wadhwani, S. (1990). Transmission of volatility between stock markets. Review of Financial Studies, 3, 5–33.

    Article  Google Scholar 

  • Lee, S., & Stevenson, S. (2005). Testing the statistical significance of sector and regional diversification. Journal of Property Investment & Finance, 23, 394–411.

    Article  Google Scholar 

  • Lee, J., & Strazicich, M. C. (2003). Minimum lagrange multiplier unit root test with two structural breaks. The Review of Economics and Statistics, 85, 1082–1089.

    Article  Google Scholar 

  • Lee, J., & Strazicich, M. C. (2013). Minimum LM unit root test with one structural break. Economics Bulletin, 33, 2843–2942.

    Google Scholar 

  • Ling, D. C., & Naranjo, A. (1999). The integration of commercial real estate markets and stock markets. Real Estate Economics, 27, 483–515.

    Article  Google Scholar 

  • Ling, D. C., & Naranjo, A. (1996). Economic risk factors and commercial real estate returns. Journal of Real Estate Finance and Economics, 14, 283–307.

    Google Scholar 

  • Liow, K. H., & Yang, H. (2005). Long term co-memories and short-run adjustment: Securitized real estate and stock. Journal of Real Estate Finance and Economics, 31, 283–300.

    Article  Google Scholar 

  • Long, J. B., & Plosser, C. I. (1987). Sectoral vs. aggregate shocks in the business cycles. American Economic Review, 77, 333–336.

    Google Scholar 

  • Louargand, M. A. (1992). A survey of pension fund real estate portfolio risk management practices. Journal of Real Estate Research, 7, 361–373.

    Google Scholar 

  • Macgregor, B., & Schwann, G. (2003). Common features in UK commercial real estate returns. Journal of Property Research, 20, 23–48.

    Article  Google Scholar 

  • McCue, T. E., & King, J. L. (1994). Real estate returns and the macroeconomy: Some empirical evidence from real estate investment trust. Journal of Real Estate Research, 9, 277–288.

    Google Scholar 

  • Miles, M. E., & McCue, T. E. (1982). Historic returns and institutional real estate portfolios. AREUEA Journal, 10, 184–198.

    Article  Google Scholar 

  • Miles, M. E., & McCue, T. E. (1984). Commercial real estate returns. Real Estate Economics, 12, 355–377.

    Article  Google Scholar 

  • Mueller, G. R. (1993). Refining economic diversification strategies for real estate portfolios. Journal of Real Estate Research, 8, 55–68.

    Google Scholar 

  • Mueller, G. R., & Ziering, B. A. (1992). Real estate portfolio diversification using economic diversification. Journal of Real Estate Research, 7, 375–386.

    Google Scholar 

  • Newell, G., & Keng, T. Y. (2003). The significance of property sector and geographical diversification in Australian institutional property portfolios. Pacific Rim Property Research Journal, 9, 248–264.

    Article  Google Scholar 

  • Ng, S., & Perron, P. (2001). Lag length selection and the construction of unit root tests with good size and power. Econometrica, 69, 1519–1554.

    Article  Google Scholar 

  • Osterwald-Lenum, M. (1992). A note with quartiles as the asymptotic distribution of the maximum likelihood cointegration rank test statistics. Oxford Bulletin of Economics and Statistics, 54, 461–472.

    Article  Google Scholar 

  • Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75, 335–346.

    Article  Google Scholar 

  • Perron, P. (1997). Further evidence on breaking trend functions in macroeconomic variables. Journal of Econometrics, 80, 355–385.

    Article  Google Scholar 

  • Phylaktis, K., & Ravazzolo, F. (2005). Stock market linkages in emerging markets, implications for international portfolio diversification. Journal of International Financial Markets, Institutions & Money, 15, 91–106.

    Article  Google Scholar 

  • Quan, D., & Titman, S. (1999). Do real estate prices and stock prices move together? An international analysis. Real Estate Economics, 27, 183–207.

    Article  Google Scholar 

  • Rezayat, F., & Yavas, B. F. (2006). International portfolio diversification: A study of linkages among the U.S., European and Japanese equity markets. Journal of Multinational Financial Management, 16, 440–458.

    Article  Google Scholar 

  • Roll, R. (1992). A mean variance analysis of tracking error. Journal of Portfolio Management, 18, 13–22.

    Article  Google Scholar 

  • Sheng, H., & Tu, A. (2000). A study of cointegration and variance decomposition among national equity indices before and during the period of the Asian financial crisis. Journal of Multinational Financial Management, 10, 345–365.

    Article  Google Scholar 

  • Stock, J. H., & Watson, M. W. (1988). Testing for Common Trends. Journal of the American Statistical Association, 83, 1097–1107.

    Article  Google Scholar 

  • Switzer, L. N., & Fan, H. (2007). Spanning tests for replicable small-cap indexes as separate asset classes. Quarterly The Journal of Portfolio Management, 33, 102–110.

    Article  Google Scholar 

  • Syriopoulos, T. (2006). Risk and return implications from investing in emerging European stock markets. Journal of International Financial Markets, Institutions & Money, 16, 283–929.

    Article  Google Scholar 

  • Wit, I. D. (1996). Real estate portfolio management practices of pension funds and insurance companies in The Netherlands, a survey. Journal of Real Estate Research, 11, 131–148.

    Google Scholar 

  • Wit, I. D. (2010). International diversification strategies for direct real estate. Journal of Real Estate Finanance and Economics, 41, 433–457.

    Article  Google Scholar 

  • Webb, J. R. (1984). Real estate investment acquisition rules for life insurance companies and pension funds, a survey. AREUEA Journal, 12, 495–520.

    Article  Google Scholar 

  • Yunus, N. (2012). Modelling relationships among securitized property markets, stock markets and macroeconomic fundamentals, international evidence. Journal of Real Estate Research, 34, 127–156.

    Google Scholar 

  • Yunus, N. (2013). Dynamic interactions among property types. International evidence based on cointegration test, Journal of Property Investment and Finance, 31, 135–159.

    Article  Google Scholar 

  • Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock and the unit-root hypothesis. Journal of Business and Economic Statistics, 10, 251–270.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nafeesa Yunus.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yunus, N. Dynamic Linkages Among U.S. Real Estate Sectors Before and After the Housing Crisis. J Real Estate Finan Econ 58, 264–289 (2019). https://doi.org/10.1007/s11146-017-9639-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11146-017-9639-7

Keywords

JEL Classification

Navigation