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Risk and Structural Instability in US House Prices

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  • Michail Karoglou
  • Bruce Morley
  • Dennis Thomas

Abstract

This paper employs a Component GARCH in Mean model to show that house prices across a number of major US cities between 1987 and 2009 have displayed asset market properties in terms of both risk-return relationships and asymmetric adjustment to shocks. In addition, tests for structural breaks in the mean and variance indicate structural instability across the data range. Multiple breaks are identified across all cities, particularly for the early 1990s and during the post-2007 financial crisis as housing has become an increasingly risky asset. Estimating the models over the individual sub-samples suggests that over the last 20 years the financial sector has increasingly failed to account for the levels of risk associated with real estate markets. This result has possible implications for the way in which financial institutions should be regulated in the future. Copyright Springer Science+Business Media, LLC 2013

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  • Michail Karoglou & Bruce Morley & Dennis Thomas, 2013. "Risk and Structural Instability in US House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 424-436, April.
    • Handle: RePEc:kap:jrefec:v:46:y:2013:i:3:p:424-436
    DOI: 10.1007/s11146-011-9332-1
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    Cited by:

    1. Yuan Zhang & Yiguo Sun & Thanasis Stengos, 2019. "Spatial Dependence in the Residential Canadian Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 58(2), pages 223-263, February.
    2. Paraskevi Katsiampa & Kyriaki Begiazi, 2019. "An empirical analysis of the Scottish housing market by property type," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(4), pages 559-583, September.
    3. Tang, Edward Chi Ho & Leung, Charles Ka Yui, 2024. "Icing on the cake: Can the Top-Floor Units serve as a status good and an investment simultaneously?," MPRA Paper 121937, University Library of Munich, Germany.
    4. Kuang-Liang Chang & Charles Ka Yui Leung, 2022. "How did the asset markets change after the Global Financial Crisis?," Chapters, in: Charles K.Y. Leung (ed.), Handbook of Real Estate and Macroeconomics, chapter 12, pages 312-336, Edward Elgar Publishing.
    5. Bruce Morley & Dennis Thomas, 2018. "Covariance Risk and the Ripple Effect in the UK Regional Housing Market," Review of Economics & Finance, Better Advances Press, Canada, vol. 13, pages 1-13, August.
    6. Bruce Morley & Dennis Thomas, 2016. "An Empirical Analysis of UK House Price Risk Variation by Property Type," Review of Economics & Finance, Better Advances Press, Canada, vol. 6, pages 45-56, May.
    7. Nicholas Apergis & James E. Payne, 2020. "Modeling the time varying volatility of housing returns: Further evidence from the U.S. metropolitan condominium markets," Review of Financial Economics, John Wiley & Sons, vol. 38(1), pages 24-33, January.
    8. Balcilar, Mehmet & Gupta, Rangan & Sousa, Ricardo M. & Wohar, Mark E., 2021. "Linking U.S. State-level housing market returns, and the consumption-(Dis)Aggregate wealth ratio," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 779-810.
    9. Kyriaki Begiazi & Paraskevi Katsiampa, 2019. "Modelling UK House Prices with Structural Breaks and Conditional Variance Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 58(2), pages 290-309, February.
    10. Christos S. Savva & Nektarios A. Michail, 2017. "Modelling house price volatility states in Cyprus with switching ARCH models," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 11(1), pages 69-82, June.

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