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Asymmetric Nonlinear Impact of Oil Prices and Inflation on Residential Property Prices: a Case of US, UK and Canada

Author

Listed:
  • Mobeen Ur Rehman

    (Ton Duc Thang University
    Ton Duc Thang University)

  • Sajid Ali

    (Bahria University)

  • Syed Jawad Hussain Shahzad

    (Montpellier Business School
    South Ural State University)

Abstract

This paper examines the nonlinear impact of oil prices and inflation on residential prices in the US, the UK and Canada using quarterly data from 1975 to 2017. The study uses nonlinear autoregressive distributed lag (NARDL) bounds testing approach that allows possible asymmetric effects in both short- and long-run. Our results highlight that oil prices, interest and inflation rates and income have asymmetric relationship with residential prices in US, UK and Canada; however, the extent and magnitude of this relationship varies. Long run coefficients of Inflation rate highlights significance for residential prices in all three economies i.e. US, UK and Canada. For international oil prices however, the asymmetric effect is more pronounced in US as compared with UK and Canada. In case of US, long-run asymmetric relationship of residential prices with inflation and gross domestic product (GDP) per capita is also witnessed however, interest rate seems to influence residential prices in both UK and Canada. Our paper has implications for the investors in residential housing markets and government authorities regulating housing sectors.

Suggested Citation

  • Mobeen Ur Rehman & Sajid Ali & Syed Jawad Hussain Shahzad, 2020. "Asymmetric Nonlinear Impact of Oil Prices and Inflation on Residential Property Prices: a Case of US, UK and Canada," The Journal of Real Estate Finance and Economics, Springer, vol. 61(1), pages 39-54, June.
    • Handle: RePEc:kap:jrefec:v:61:y:2020:i:1:d:10.1007_s11146-019-09706-y
    DOI: 10.1007/s11146-019-09706-y
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    3. 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.
    4. Ali, Sajid & Raza, Naveed & Vinh Vo, Xuan & Le, Van, 2022. "Modelling the joint dynamics of financial assets using MGARCH family models: Insights into hedging and diversification strategies," Resources Policy, Elsevier, vol. 78(C).
    5. Wojciech Kisiała & Izabela Rącka, 2021. "Spatial and Statistical Analysis of Urban Poverty for Sustainable City Development," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    6. Wang, Lu & Ruan, Hang & Hong, Yanran & Luo, Keyu, 2023. "Detecting the hidden asymmetric relationship between crude oil and the US dollar: A novel neural Granger causality method," Research in International Business and Finance, Elsevier, vol. 64(C).

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