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Spillovers between US real estate and financial assets in time and frequency domains

Author

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  • Aviral Kumar Tiwari
  • Christophe André
  • Rangan Gupta

Abstract

Purpose - Assessing the strength and time variation of spillovers between returns on residential real estate, real estate investment trusts (REITs), stocks and bonds in the United States. Spillovers reduce the benefits of portfolio diversification, especially in crisis times, when asset returns tend to be more correlated. Design/methodology/approach - The Diebold–Yilmaz approach in the time domain and the Baruník–Krehlík methodology in the frequency domain are used. The latter allows distinguishing spillovers generating only short-lived volatility from those with a more persistent effect. Findings - On average, spillovers between housing, stock and bond returns are relatively modest and shocks to stock and bond markets affect housing returns more than the other way round, even though with variations over time. Spillovers in both directions are much stronger between REITs and stocks than between REITs and housing. Shocks originating in the housing market are most persistent, particularly in the aftermath of the subprime crisis. Practical implications - Housing provides a hedge against volatility in financial (including REITs) markets. However, hedging strategies involving housing need to take into account potential tail events such as the GFC and the investment horizon. Originality/value - To the best of the knowledge of the authors, this paper is the first to apply the Baruník–Krehlík methodology to real estate price spillovers. Although the Diebold–Yilmaz methodology has been used in several studies on spillovers between residential real estate and financial asset returns, this paper covers a new set of variables and time span.

Suggested Citation

  • Aviral Kumar Tiwari & Christophe André & Rangan Gupta, 2020. "Spillovers between US real estate and financial assets in time and frequency domains," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 38(6), pages 525-537, April.
    • Handle: RePEc:eme:jpifpp:jpif-08-2019-0110
    DOI: 10.1108/JPIF-08-2019-0110
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    1. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    2. Jian Yang & Yinggang Zhou & Wai Leung, 2012. "Asymmetric Correlation and Volatility Dynamics among Stock, Bond, and Securitized Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 45(2), pages 491-521, August.
    3. Edward E. Leamer, 2007. "Housing is the business cycle," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 149-233.
    4. Ms. Nan Geng, 2018. "Fundamental Drivers of House Prices in Advanced Economies," IMF Working Papers 2018/164, International Monetary Fund.
    5. Antonakakis, Nikolaos & Floros, Christos, 2016. "Dynamic interdependencies among the housing market, stock market, policy uncertainty and the macroeconomy in the United Kingdom," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 111-122.
    6. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    7. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    8. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2016. "The great mortgaging: housing finance, crises and business cycles," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 31(85), pages 107-152.
    9. Tsai, I-Chun, 2015. "Dynamic information transfer in the United States housing and stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 215-230.
    10. Liow, Kim Hiang & Liao, Wen-Chi & Huang, Yuting, 2018. "Dynamics of international spillovers and interaction: Evidence from financial market stress and economic policy uncertainty," Economic Modelling, Elsevier, vol. 68(C), pages 96-116.
    11. So Jung Hwang & Hyunduk Suh, 2021. "Analyzing Dynamic Connectedness in Korean Housing Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(2), pages 591-609, January.
    12. Meen, Geoffrey, 2002. "The Time-Series Behavior of House Prices: A Transatlantic Divide?," Journal of Housing Economics, Elsevier, vol. 11(1), pages 1-23, March.
    13. Glascock, John L & Lu, Chiuling & So, Raymond W, 2000. "Further Evidence on the Integration of REIT, Bond, and Stock Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 20(2), pages 177-194, March.
    14. Hahn Shik Lee & Woo Suk Lee, 2018. "Housing market volatility connectedness among G7 countries," Applied Economics Letters, Taylor & Francis Journals, vol. 25(3), pages 146-151, February.
    15. Liu, Crocker H. & Hartzell, David J. & Greig, Wylie & Grissom, Terry V., 1990. "The Integration of the Real Estate Market and the Stock Market: Some Preliminary Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 3(3), pages 261-282, September.
    16. Kim Hiang Liow & Felix Schindler, 2017. "Linkages between office markets in Europe: a volatility spillover perspective," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 35(1), pages 3-25, February.
    17. Tiwari, Aviral Kumar & Cunado, Juncal & Gupta, Rangan & Wohar, Mark E., 2018. "Volatility spillovers across global asset classes: Evidence from time and frequency domains," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 194-202.
    18. David Miles & Vladimir Pillonca, 2008. "Financial innovation and European housing and mortgage markets," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 24(1), pages 145-175, spring.
    19. repec:wly:soecon:v:83:2:y:2016:p:609-624 is not listed on IDEAS
    20. Nikolaos Antonakakis & Ioannis Chatziantoniou & Christos Floros & David Gabauer, 2018. "The dynamic connectedness of UK regional property returns," Urban Studies, Urban Studies Journal Limited, vol. 55(14), pages 3110-3134, November.
    21. Ms. Deniz O Igan & Mr. Prakash Loungani, 2012. "Global Housing Cycles," IMF Working Papers 2012/217, International Monetary Fund.
    22. Nikolaos Antonakakis & Rangan Gupta & Christophe André, 2015. "Dynamic Co-movements between Economic Policy Uncertainty and Housing Market Returns," Journal of Real Estate Portfolio Management, Taylor & Francis Journals, vol. 21(1), pages 53-60, January.
    23. Reinhart, Carmen M. & Rogoff, Kenneth S., 2013. "Banking crises: An equal opportunity menace," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4557-4573.
    24. Damianov, Damian S. & Elsayed, Ahmed H., 2018. "On the transmission of spillover risks between the housing market, the mortgage and equity REITs markets, and the stock market," Finance Research Letters, Elsevier, vol. 27(C), pages 193-200.
    25. Liow, Kim Hiang & Newell, Graeme, 2016. "Real estate global beta and spillovers: An international study," Economic Modelling, Elsevier, vol. 59(C), pages 297-313.
    26. I-Chun Tsai, 2015. "Spillover Effect between the Regional and the National Housing Markets in the UK," Regional Studies, Taylor & Francis Journals, vol. 49(12), pages 1957-1976, December.
    27. Kim Hiang Liow, 2014. "The dynamics of return co-movements and volatility spillover effects in Greater China public property markets and international linkages," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 32(6), pages 610-641, August.
    28. 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.
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    Cited by:

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    2. Le, TN-Lan & Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar, 2021. "Time and frequency domain connectedness and spill-over among fintech, green bonds and cryptocurrencies in the age of the fourth industrial revolution," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    3. Krittika Banerjee & Ashima Goyal, 2020. "Monetary spillovers and real exchange rate misalignments in emerging markets," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 17(2), pages 452-484, October.
    4. Cepni, Oguzhan & Dul, Wiehan & Gupta, Rangan & Wohar, Mark E., 2021. "The dynamics of U.S. REITs returns to uncertainty shocks: A proxy SVAR approach," Research in International Business and Finance, Elsevier, vol. 58(C).
    5. Wang, Peiwan & Zong, Lu, 2020. "Contagion effects and risk transmission channels in the housing, stock, interest rate and currency markets: An Empirical Study in China and the U.S," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    6. Bonato, Matteo & Çepni, Oğuzhan & Gupta, Rangan & Pierdzioch, Christian, 2021. "Do oil-price shocks predict the realized variance of U.S. REITs?," Energy Economics, Elsevier, vol. 104(C).
    7. Chen, Yanhui & Zhou, Xiaoyu & Chen, Shun & Mi, Jackson Jinhong, 2024. "LNG freight rate and LNG price, carbon price, geopolitical risk: A dynamic connectedness analysis," Energy, Elsevier, vol. 302(C).
    8. Yousaf, Imran & Assaf, Ata & Demir, Ender, 2024. "Relationship between real estate tokens and other asset classes: Evidence from quantile connectedness approach," Research in International Business and Finance, Elsevier, vol. 69(C).
    9. Bossman, Ahmed & Umar, Zaghum & Agyei, Samuel Kwaku & Junior, Peterson Owusu, 2022. "A new ICEEMDAN-based transfer entropy quantifying information flow between real estate and policy uncertainty," Research in Economics, Elsevier, vol. 76(3), pages 189-205.

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    More about this item

    Keywords

    Real estate; Stocks; Bonds; Spillovers; Portfolio management;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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