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Do Climate Risks Predict US Housing Returns and Volatility? Evidence from a Quantiles-Based Approach

Author

Listed:
  • Elie Bouri

    (School of Business, Lebanese American University, Beirut, Lebanon)

  • Rangan Gupta

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

  • Hardik A. Marfatia

    (Department of Economics, Northeastern Illinois University, BBH 344G, 5500 N. St. Louis Avenue, Chicago, IL 60625, USA)

  • Jacobus Nel

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

Abstract

We analyse the ability of textual-analysis-based daily proxies of physical (natural disasters and global warming) and transition (US climate policy and international summits) climate risks to predict daily movements in the US housing market over the period 2nd August, 2007 to 29th November, 2019. To this end, we apply a nonparametric causality-in-quantiles test not only to uncover potential predictability in the entire conditional distribution of housing returns and volatility but also to account for nonlinearity and structural breaks which exist between housing returns and climate risk factors. We find that climate risk factors (and the associated uncertainty) do predict housing returns and volatility across the conditional distribution. These results are robust to alternative daily data of aggregate housing prices for the US and ten major metropolitan statistical areas (MSAs). Insights from our findings can benefit academics, investors, and policymakers in their decision-making.

Suggested Citation

  • Elie Bouri & Rangan Gupta & Hardik A. Marfatia & Jacobus Nel, 2022. "Do Climate Risks Predict US Housing Returns and Volatility? Evidence from a Quantiles-Based Approach," Working Papers 202240, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:202240
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    References listed on IDEAS

    as
    1. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.
    2. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2014. "Housing and the Great Depression," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2966-2981, August.
    3. Tim Bollerslev & Andrew J. Patton & Wenjing Wang, 2016. "Daily House Price Indices: Construction, Modeling, and Longer‐run Predictions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 1005-1025, September.
    4. Athanasios Votsis & Adriaan Perrels, 2016. "Housing Prices and the Public Disclosure of Flood Risk: A Difference-in-Differences Analysis in Finland," The Journal of Real Estate Finance and Economics, Springer, vol. 53(4), pages 450-471, November.
    5. Mehmet Balcilar & Elie Bouri & Rangan Gupta & Clement Kweku Kyei, 2021. "High-Frequency Predictability of Housing Market Movements of the United States: The Role of Economic Sentiment," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 22(4), pages 490-498, October.
    6. Mitchell R. Livy, 2020. "Determining the effect of abnormal temperatures on the housing market," Applied Economics Letters, Taylor & Francis Journals, vol. 27(3), pages 233-236, February.
    7. Bouri, Elie & Iqbal, Najaf & Klein, Tony, 2022. "Climate policy uncertainty and the price dynamics of green and brown energy stocks," Finance Research Letters, Elsevier, vol. 47(PB).
    8. Wendy Nyakabawo & Rangan Gupta & Hardik A. Marfatia, 2018. "High Frequency Impact Of Monetary Policy And Macroeconomic Surprises On Us Msas, Aggregate Us Housing Returns And Asymmetric Volatility," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 204-229, December.
    9. 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.
    10. Geoffrey M. Ngene & Daniel P. Sohn & M. Kabir Hassan, 2017. "Time-Varying and Spatial Herding Behavior in the US Housing Market: Evidence from Direct Housing Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 54(4), pages 482-514, May.
    11. Binh Nguyen Thanh & Johannes Strobel & Gabriel Lee, 2020. "A New Measure of Real Estate Uncertainty Shocks," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(3), pages 744-771, September.
    12. Bernstein, Asaf & Gustafson, Matthew T. & Lewis, Ryan, 2019. "Disaster on the horizon: The price effect of sea level rise," Journal of Financial Economics, Elsevier, vol. 134(2), pages 253-272.
    13. Markus Baldauf & Lorenzo Garlappi & Constantine Yannelis & José Scheinkman, 2020. "Does Climate Change Affect Real Estate Prices? Only If You Believe In It," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1256-1295.
    14. Flori, Andrea & Pammolli, Fabio & Spelta, Alessandro, 2021. "Commodity prices co-movements and financial stability: A multidimensional visibility nexus with climate conditions," Journal of Financial Stability, Elsevier, vol. 54(C).
    15. Mehmet Balcilar & Rangan Gupta & Duc Khuong Nguyen & Mark E. Wohar, 2018. "Causal effects of the United States and Japan on Pacific-Rim stock markets: nonparametric quantile causality approach," Applied Economics, Taylor & Francis Journals, vol. 50(53), pages 5712-5727, November.
    16. Bouri, Elie & Gupta, Rangan & Kyei, Clement Kweku & Shivambu, Rinsuna, 2021. "Uncertainty and daily predictability of housing returns and volatility of the United States: Evidence from a higher-order nonparametric causality-in-quantiles test," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 200-206.
    17. Donadelli, M. & Jüppner, M. & Paradiso, A. & Ghisletti, M., 2020. "Tornado activity, house prices, and stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    18. Furkan Emirmahmutoglu & Mehmet Bacilar & Nicholas Apergis & Beatrice D. Simo-Kengne & Tsangyao Chang & Rangan Gupta, 2016. "Causal Relationship between Asset Prices and Output in the United States: Evidence from the State-Level Panel Granger Causality Test," Regional Studies, Taylor & Francis Journals, vol. 50(10), pages 1728-1741, October.
    19. Justin Murfin & Matthew Spiegel & Jose Scheinkman, 2020. "Is the Risk of Sea Level Rise Capitalized in Residential Real Estate?," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1217-1255.
    20. McCoy, Shawn J. & Walsh, Randall P., 2018. "Wildfire risk, salience & housing demand," Journal of Environmental Economics and Management, Elsevier, vol. 91(C), pages 203-228.
    21. Donggyu Yi & Hyundo Choi, 2020. "Housing Market Response to New Flood Risk Information and the Impact on Poor Tenant," The Journal of Real Estate Finance and Economics, Springer, vol. 61(1), pages 55-79, June.
    22. Nishiyama, Yoshihiko & Hitomi, Kohtaro & Kawasaki, Yoshinori & Jeong, Kiho, 2011. "A consistent nonparametric test for nonlinear causality—Specification in time series regression," Journal of Econometrics, Elsevier, vol. 165(1), pages 112-127.
    23. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
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    More about this item

    Keywords

    Physical and transitional climate risks; US housing returns and volatility; higher-order nonparametric causality-in-quantiles test; natural disasters and global warming; US climate policy and international summits;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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