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Dynamic Comovements Between Housing and Oil Markets in the US over 1859 to 2013: a Note

Author

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  • Nikolaos Antonakakis

    (University of Portsmouth
    Webster Vienna Private University)

  • Rangan Gupta

    (University of Pretoria)

  • John W. Muteba Mwamba

    (University of Johannesburg)

Abstract

In this study, we examine the dynamic comovements between housing and oil market returns in the United States over the period 1859–2013, while controlling for real gross domestic product growth, inflation, interest rates, and real stock, gold and silver returns that are known to affect both these markets. As such, we provide a bird’s-eye view on the interdependencies between these two markets from a historical perspective. The results of our empirical analysis reveal that comovements between housing and oil market returns are consistently negative over time, apart from several recessions the U.S. economy experienced in the 19th century, wherein correlations were positive.

Suggested Citation

  • Nikolaos Antonakakis & Rangan Gupta & John W. Muteba Mwamba, 2016. "Dynamic Comovements Between Housing and Oil Markets in the US over 1859 to 2013: a Note," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 44(3), pages 377-386, September.
    • Handle: RePEc:kap:atlecj:v:44:y:2016:i:3:d:10.1007_s11293-016-9508-4
    DOI: 10.1007/s11293-016-9508-4
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    Cited by:

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    2. Afees A. Salisu & Rangan Gupta, 2021. "How Do Housing Returns in Emerging Countries Respond to Oil Shocks? A MIDAS Touch," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(15), pages 4286-4311, December.
    3. Mohsen Bahmani-Oskooee & Seyed Hesam Ghodsi, 2020. "On the Link between Oil Price and House Prices in the U.S.: Asymmetric Evidence from State Level Data," International Real Estate Review, Global Social Science Institute, vol. 23(1), pages 65-106.
    4. Zhang, Tong & Burke, Paul J., 2022. "The effect of gasoline prices on suburban housing values in China," China Economic Review, Elsevier, vol. 72(C).
    5. Chen, Bin & Zhu, Xingyi, 2025. "Reaction of Chinese housing prices to oil prices and monetary policy shocks," Energy Policy, Elsevier, vol. 198(C).
    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. Khamis Hamed Al-Yahyaee & Walid Mensi & Hee-Un Ko & Massimiliano Caporin & Sang Hoon Kang, 2021. "Is the Korean housing market following Gangnam style?," Empirical Economics, Springer, vol. 61(4), pages 2041-2072, October.
    8. Sheng, Xin & Marfatia, Hardik A. & Gupta, Rangan & Ji, Qiang, 2021. "House price synchronization across the US states: The role of structural oil shocks," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    9. Nafeesa Yunus, 2023. "Co‐movement among oil, stock, bond, and housing markets: An analysis of U.S., Asian, and European economies," International Review of Finance, International Review of Finance Ltd., vol. 23(2), pages 393-436, June.
    10. 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).
    11. Ohikhuare, Obaika M., 2023. "How geopolitical risk drives spillover interconnectedness between crude oil and exchange rate markets: Evidence from the Russia-Ukraine war," Resources Policy, Elsevier, vol. 86(PB).
    12. Gupta, Rangan & Sheng, Xin & van Eyden, Reneé & Wohar, Mark E., 2021. "The impact of disaggregated oil shocks on state-level real housing returns of the United States: The role of oil dependence," Finance Research Letters, Elsevier, vol. 43(C).
    13. Nazlioglu, Saban & Gupta, Rangan & Gormus, Alper & Soytas, Ugur, 2020. "Price and volatility linkages between international REITs and oil markets," Energy Economics, Elsevier, vol. 88(C).
    14. Donadelli, M. & Jüppner, M. & Paradiso, A. & Ghisletti, M., 2020. "Tornado activity, house prices, and stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    15. Stenvall, David & Hedström, Axel & Yoshino, Naoyuki & Uddin, Gazi Salah & Taghizadeh-Hesary, Farhad, 2022. "Nonlinear tail dependence between the housing and energy markets," Energy Economics, Elsevier, vol. 106(C).
    16. Killins, Robert N. & Egly, Peter V. & Escobari, Diego, 2017. "The impact of oil shocks on the housing market: Evidence from Canada and U.S," Journal of Economics and Business, Elsevier, vol. 93(C), pages 15-28.
    17. Nyakundi M. Michieka & Richard S. Gearhart & Noha A. Razek, 2024. "Oil Price Dynamics and Housing Demand in Oil Producing Counties in the U.S," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(2), pages 483-512, June.
    18. Mohsen Bahmani-Oskooee & Seyed Hesam Ghodsi, 2020. "On the Link between Oil Price and House Prices in the U.S.: Asymmetric Evidence from State Level Data," International Real Estate Review, Asian Real Estate Society, vol. 23(1), pages 691-732.

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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
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • E66 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General Outlook and Conditions
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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