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The causality between house prices and stock prices: evidence from seven European countries

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  • Manuchehr Irandoust

Abstract

Purpose - This paper aims to examine whether there exists a long-run causal relationship between the prices of households’ two major assets: stocks and houses over the period 1975Q1–2017Q1 for seven major European countries. Design/methodology/approach - The paper uses the bootstrap panel Granger causality approach to determine the causal structure, focusing on cross-sectional dependence, slope heterogeneity and structural breaks. Findings - The findings show that, in most cases, there is a unidirectional causality running from stock price to house price but the converse is not true. This confirms a strong wealth effect in housing markets. The findings are important for not only households but also policymakers concerned with financial stability and housing prices. Originality/value - First, the methodology used here devotes full attention to dynamic co-movement between housing and stock markets. Second, this study uses a rather long quarterly data, which implies that the findings could be robust. Third, the study uses real personal disposable income as a control variable to remove the effects of economic growth. Fourth, most of the previous studies do not consider the presence of structural breaks and this makes the result of causality invalid and biased. Fifth, most of the previous studies on housing and stock markets concentrated on the US and non-European countries such as China, Korea and Singapore.

Suggested Citation

  • Manuchehr Irandoust, 2020. "The causality between house prices and stock prices: evidence from seven European countries," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 14(1), pages 137-156, May.
  • Handle: RePEc:eme:ijhmap:ijhma-02-2020-0013
    DOI: 10.1108/IJHMA-02-2020-0013
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    More about this item

    Keywords

    House prices; Stock prices; Panel causality; Households; Tobin’s Q; Permanent income hypothesis; R3; C49; E44; G11;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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