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Climate Change and Real Estate Prices

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  • Igor Semenenko
  • Junwook Yoo

Abstract

Direct real estate returns are correlated with shifts in weather patterns, which are proxied by changes in four moments of distribution for differences in average and maximum daily temperatures, deviations from optimal temperatures and climate risk index reported by Germanwatch. Changes in the volatility of daily temperatures are inversely correlated with direct real estate returns. The volatility effect appeared to be marginal in 1996-2007, but it became more pronounced in 2010-2017. Other moments of the distribution, including changes in means, skewness and kurtosis, fail to obtain predictive power. Results are robust to tests in a smaller sample of capital cities and the exclusion of observations with the most significant volatility increases.

Suggested Citation

  • Igor Semenenko & Junwook Yoo, 2019. "Climate Change and Real Estate Prices," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(11), pages 1-1, November.
    • Handle: RePEc:ibn:ijefaa:v:11:y:2019:i:11:p:1
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    Cited by:

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    3. Ainur A. Akhmetzianov & Andrew Y. Sokolov, 2021. "Financial and Strategic Pricing Analysis in the Development Market Using an Econometric Model," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(1), pages 144-148, January.
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    5. Patrick Gourley, 2021. "Curb appeal: how temporary weather patterns affect house prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 107-129, August.

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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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