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Frequency volatility connectedness and market integration in international real estate investment trusts

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  • Liow, Kim Hiang
  • Song, Jeong Seop

Abstract

Within the context of market integration, this paper explores the frequency connectedness of volatilities across 14 international REIT markets over the last ten years. Following Barunik and Krehlik (2018), we determine whether the REIT volatility connectedness results from short-, medium- or long-term impacts of shocks can reveal the underlying frequency sources of volatility connectedness. We also identify the systematic risk source that the US REIT market played an influential role for volatility connectedness across global REITs. Our results are valuable for policy maker to guide the future development and consolidation of younger REIT markets over time.

Suggested Citation

  • Liow, Kim Hiang & Song, Jeong Seop, 2022. "Frequency volatility connectedness and market integration in international real estate investment trusts," Finance Research Letters, Elsevier, vol. 45(C).
  • Handle: RePEc:eee:finlet:v:45:y:2022:i:c:s1544612321002464
    DOI: 10.1016/j.frl.2021.102174
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    References listed on IDEAS

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    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. Liow, Kim Hiang & Huang, Yuting, 2018. "The dynamics of volatility connectedness in international real estate investment trusts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 195-210.
    3. Jian Zhou, 2013. "Extreme risk spillover among international REIT markets," Applied Financial Economics, Taylor & Francis Journals, vol. 23(2), pages 91-103, January.
    4. Nathan S. Balke & Mark E. Wohar, 2002. "Low-Frequency Movements in Stock Prices: A State-Space Decomposition," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 649-667, November.
    5. Jiang, Junhua & Piljak, Vanja & Tiwari, Aviral Kumar & Äijö, Janne, 2020. "Frequency volatility connectedness across different industries in China," Finance Research Letters, Elsevier, vol. 37(C).
    6. 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.
    7. Ji, Qiang & Marfatia, Hardik & Gupta, Rangan, 2018. "Information spillover across international real estate investment trusts: Evidence from an entropy-based network analysis," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 103-113.
    8. Kim Hiang LIOW & Jeongseop SONG, 2019. "Market Integration Among the US and Asian Real Estate Investment Trusts in Crisis Times," International Real Estate Review, Global Social Science Institute, vol. 22(4), pages 463-512.
    9. 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.
    10. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    11. Mensi, Walid & Hernandez, Jose Arroeola & Yoon, Seong-Min & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Spillovers and connectedness between major precious metals and major currency markets: The role of frequency factor," International Review of Financial Analysis, Elsevier, vol. 74(C).
    12. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    13. Wang, Xunxiao & Wang, Yudong, 2019. "Volatility spillovers between crude oil and Chinese sectoral equity markets: Evidence from a frequency dynamics perspective," Energy Economics, Elsevier, vol. 80(C), pages 995-1009.
    14. Kai Shi, 2021. "Spillovers of Stock Markets among the BRICS: New Evidence in Time and Frequency Domains before the Outbreak of COVID-19 Pandemic," JRFM, MDPI, vol. 14(3), pages 1-37, March.
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    Cited by:

    1. Liu, Jian & Chen, Yan & Liao, Shufei & Cheng, Cheng & Fu, Yongge, 2023. "Information spillovers in Hong Kong REITs and related asset markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 92(C), pages 215-229.
    2. Ren, Yinghua & Zhao, Wanru & You, Wanhai & Zhu, Huiming, 2022. "Multiscale features of extreme risk spillover networks among global stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    3. Kim Hiang Liow, 2022. "Exploring a Three-Factor Dependence Structure of Conditional Volatilities: Some Quantile Regression Evidence from Real Estate Investment Trusts," JRFM, MDPI, vol. 15(6), pages 1-13, May.
    4. Abdullah, Mohammad & Adeabah, David & Abakah, Emmanuel Joel Aikins & Lee, Chi-Chuan, 2023. "Extreme return and volatility connectedness among real estate tokens, REITs, and other assets: The role of global factors and portfolio implications," Finance Research Letters, Elsevier, vol. 56(C).

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