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Uncovering the interrelationship between the U.S. stock and housing markets: a bootstrap rolling window Granger causality approach

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  • Tsangyao Chang
  • Su-Ling Tsai
  • Kai-yin Allison Haga

Abstract

The purpose of this study is to investigate the time-varying interrelationship between the housing market and the stock market in the U.S. during the period of 1890–2013, by employing a rolling window subsample with a bootstrap Granger causality test. The rolling window allows for structural changes in the economy over time. Whereas previous studies have not identified a causal relationship between the U.S. housing price index and the SP500 stock price index, this new analysis is the first to identify certain periods wherein either the wealth effect or the investment effect can be observed.

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  • Tsangyao Chang & Su-Ling Tsai & Kai-yin Allison Haga, 2017. "Uncovering the interrelationship between the U.S. stock and housing markets: a bootstrap rolling window Granger causality approach," Applied Economics, Taylor & Francis Journals, vol. 49(58), pages 5841-5848, December.
    • Handle: RePEc:taf:applec:v:49:y:2017:i:58:p:5841-5848
    DOI: 10.1080/00036846.2017.1346365
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    3. Chen, Chien-Fu & Chiang, Shu-hen, 2022. "Portfolio diversification possibilities between the stock and housing markets in G7 countries: Evidence from the time-varying Granger causality," Finance Research Letters, Elsevier, vol. 49(C).
    4. Mensi, Walid & Nekhili, Ramzi & Vo, Xuan Vinh & Suleman, Tahir & Kang, Sang Hoon, 2021. "Asymmetric volatility connectedness among U.S. stock sectors," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).

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