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Housing market volatility connectedness among G7 countries

Author

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  • Hahn Shik Lee

    (Department of Economics, Sogang University, Seoul)

  • Woo Suk Lee

    (Department of Economics, Sogang University, Seoul)

Abstract

This study investigates international linkages among housing markets in the G7 countries, using the connectedness methodology developed in Diebold and Yilmaz (2012). We find that volatility connectedness varies over the business cycle, with a surge during the global financial crisis. We also show that the United States and Italy were major net transmitters of housing market volatility shocks to other countries during the global financial and the European debt crises.

Suggested Citation

  • Hahn Shik Lee & Woo Suk Lee, 2016. "Housing market volatility connectedness among G7 countries," Working Papers 1605, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    • Handle: RePEc:sgo:wpaper:1605
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    References listed on IDEAS

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    1. Hideaki Hirata & M. Ayhan Kose & Christopher Otrok & Marco E Terrones, 2013. "Global House Price Fluctuations: Synchronization and Determinants," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 9(1), pages 119-166.
    2. Diebold, Francis X. & Yilmaz, Kamil, 2015. "Financial and Macroeconomic Connectedness: A Network Approach to Measurement and Monitoring," OUP Catalogue, Oxford University Press, number 9780199338306.
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    6. Loutskina, Elena & Strahan, Philip E., 2015. "Financial integration, housing, and economic volatility," Journal of Financial Economics, Elsevier, vol. 115(1), pages 25-41.
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    2. Duan, Kun & Shan, Shuwen & Huang, Yingying & Urquhart, Andrew, 2025. "How do housing markets comove with the financial system? Evidence from dynamic risk spillovers," Research in International Business and Finance, Elsevier, vol. 77(PB).
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    4. 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.
    5. Öznur Taşdöken & Hakan Kahyaoğlu, 2024. "Investigation of Connectedness Effects in the Euro Region: The Case of the Real Estate Prices Index," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 74(2), pages 315-350, December.
    6. Wang, Xichen, 2025. "The quantile connectedness of the international housing market," Journal of International Money and Finance, Elsevier, vol. 152(C).
    7. Lee, Hahn Shik & Lee, Woo Suk, 2019. "Cross-regional connectedness in the Korean housing market," Journal of Housing Economics, Elsevier, vol. 46(C).
    8. Brzezicka Justyna & Łaszek Jacek & Olszewski Krzysztof, 2019. "An Analysis of the Relationships Between Domestic Real Estate Markets – A Systemic Approach," Real Estate Management and Valuation, Sciendo, vol. 27(1), pages 79-91, March.
    9. Chiang, Shu-hen & Chen, Chien-Fu, 2022. "From systematic to systemic risk among G7 members: Do the stock or real estate markets matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    10. Mensi, Walid & Gubareva, Mariya & Teplova, Tamara & Kang, Sang Hoon, 2023. "Spillover and connectedness among G7 real estate investment trusts: The effects of investor sentiment and global factors," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    11. Agyemang, Abraham & Chowdhury, Iftekhar & Balli, Faruk, 2021. "Quantifying Return Spillovers in Global Real Estate Markets," Journal of Housing Economics, Elsevier, vol. 52(C).
    12. Yakup Ari & Hakan Kurt & Harun Uçak, 2025. "Volatility Spillovers Among EAGLE Economies: Insights from Frequency-Based TVP-VAR Connectedness," Mathematics, MDPI, vol. 13(8), pages 1-32, April.
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    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
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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