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Housing market volatility connectedness among G7 countries

Author

Listed:
  • Hahn Shik Lee
  • Woo Suk Lee

Abstract

This study investigates international linkages among housing markets in the G7 countries, using the connectedness methodology developed in Diebold and Yilmaz (2012, 2015). 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 crisis and the European debt crisis, respectively.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:apeclt:v:25:y:2018:i:3:p:146-151
    DOI: 10.1080/13504851.2017.1305069
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    Citations

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    Cited by:

    1. Wan, Yang & He, Shi, 2021. "Dynamic connectedness of currencies in G7 countries: A Bayesian time-varying approach," Finance Research Letters, Elsevier, vol. 41(C).
    2. 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).
    3. Wang, Xichen, 2025. "The quantile connectedness of the international housing market," Journal of International Money and Finance, Elsevier, vol. 152(C).
    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. Nguyen, Thi Thu Ha & Naeem, Muhammad Abubakr & Balli, Faruk & Balli, Hatice Ozer & Syed, Iqbal, 2021. "Information transmission between oil and housing markets," Energy Economics, Elsevier, vol. 95(C).
    7. 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).
    8. Lee, Hahn Shik & Lee, Woo Suk, 2019. "Cross-regional connectedness in the Korean housing market," Journal of Housing Economics, Elsevier, vol. 46(C).
    9. 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.
    10. 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.
    11. 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.
    12. Hoque, Mohammad Enamul & Soo-Wah, Low & Billah, Mabruk, 2023. "Time-frequency connectedness and spillover among carbon, climate, and energy futures: Determinants and portfolio risk management implications," Energy Economics, Elsevier, vol. 127(PB).
    13. 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).
    14. Agyemang, Abraham & Chowdhury, Iftekhar & Balli, Faruk, 2021. "Quantifying Return Spillovers in Global Real Estate Markets," Journal of Housing Economics, Elsevier, vol. 52(C).

    More about this item

    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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