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House Prices, (Un)Affordability and Systemic Risk

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  • Efthymios Pavlidis
  • Ivan Paya
  • Alex Skouralis

Abstract

This is the first paper to examine the role of the real estate sector and housing unaffordability in the determination of systemic risk. We measure the systemic risk of the UK by employing the CoVaR method developed by Adrian and Brunnermeier (2011, 2016), and we explore both its cross-sectional and time series behaviour. Regarding the former, we show that when the real estate sector is under distress the tail risk of the entire financial system increases significantly. With respect to the latter, the findings of our dynamic model suggest that sustainable house prices positively contribute to the stability of the financial sector; whilst house price exuberance and rapid increases in housing unaffordability amplify systemic risk. Finally, we examine the conjecture that the banking sector comprises a transmission channel from the housing market to the systemic risk of the financial system. Our empirical results are in line with this argument and highlight the key role of housing unaffordability.

Suggested Citation

  • Efthymios Pavlidis & Ivan Paya & Alex Skouralis, 2019. "House Prices, (Un)Affordability and Systemic Risk," Working Papers 266072868, Lancaster University Management School, Economics Department.
    • Handle: RePEc:lan:wpaper:266072868
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    affordability; real estate sector; systemic risk;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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