Investigating the Effects of Climate Policy Uncertainty on the Volatility of the U.S. Real Estate Markets

Yıl 2023, Cilt: 12 Sayı: 3, 1255 - 1270, 30.09.2023

Mustafa Hamad Ameen , Aslı Afşar

https://doi.org/10.15869/itobiad.1258345

Öz

As climate change worsens, dangerous weather events are becoming more frequent or serve: Even the world's wealthiest nations could not put out large-scale fires, which are raging in the world. The rise of sea levels, the deadly floods, the imbalances between the temperatures, and the uncertainty in climate policy has raised many eyebrows in the last few years. Although climate change influences many sectors including real estate markets, information regarding the impacts of climate policy uncertainty on these markets remains poor. In order to analyze the impacts of climate change uncertainty on the real estate markets in the USA. We use the Climate Policy Uncertainty (CPU) index and the Volatility of the Real Estate Markets (REMV) index based on monthly data which starts in January-2000 and ends in March-2021. This study utilized the VAR model to analyze the collected data. Surprisingly, the results of the Granger causality test show no G-causality between the CPU index and the REMV index. This means that there is no statistically significant causal relationship between these two variables in the dataset used. Further, according to the results of the Impulse response test, the variables react to the shocks which come to themself positively and provide a meaningless result to the reactions between the variables. In other words, the shocks or disturbances within the variables do not lead to predictable or significant effects on the other variable. Lastly, the Variance decomposition test results show that the variables lagged by 99% of their dynamics and lagged by 1% of the other variables' dynamics. Generally, no negative connection can be observed between the two variables in the dataset used.

Anahtar Kelimeler

CPU index, PEMV index, VAR model, U.S. Real estate Markets, Climate Policy Uncertainty

Destekleyen Kurum

Non

Proje Numarası

Non

Teşekkür

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İklim Politikası Belirsizliğinin ABD Gayrimenkul Piyasalarının Oynaklığı Üzerindeki Etkilerinin İncelenmesi

Öz

İklim değişikliği kötüleştikçe, tehlikeli hava olayları daha sık veya şiddetli hale geliyor Dünyanın en zengin ülkeleri bile dünyayı kasıp kavuran büyük çaplı yangınları söndüremedi. Deniz seviyelerinin yükselmesi, ölümcül seller, sıcaklıklar arasındaki dengesizlikler ve iklim politikasındaki belirsizlik, son yıllarda pek çok kişinin dikkatini çekmektedir. İklim değişikliği, gayrimenkul da dahil olmak üzere birçok sektörü etkilese de iklim politikası belirsizliğinin bu piyasalar üzerindeki etkilerine ilişkin bilgiler yetersiz kalmaya devam etmektedir. Bu çalışmada, iklim değişikliği belirsizliğinin ABD'deki gayrimenkul piyasaları üzerindeki etkilerini analiz etmek için Ocak 2000’de başlayan ve Mart 2021’de sona eren aylık verilere dayanan İklim Politikası Belirsizlik (CPU) Endeksi ve gayrimenkul piyasalarının oynaklığı (REMV) endeksi kullanılmıştır. Toplanan verileri analiz etmek için VAR modeli kullanılmıştır. Şaşırtıcı bir şekilde, Granger nedensellik testinin sonuçları, CPU indeksi ile REMV endeksi arasında Granger nedenselik olmadığını göstermektedir. Bu da kullanılan veri setinde bu iki değişken arasında istatistiksel olarak anlamlı bir nedensellik ilişkisi olmadığı anlamına gelir. Ayrıca, etki (dürtü)-tepki analizi sonuçlarına göre değişkenler kendilerine gelen şoklara olumlu tepki vermekte ve değişkenler arasındaki tepkilere anlamsız bir sonuç vermektedir. Diğer bir deyişle, değişkenlerdeki şoklar veya bozulmalar diğer değişken üzerinde öngörülebilir veya anlamlı etkilere yol açmaz. Son olarak, varyans ayrıştırma testi sonuçları, değişkenlerin dinamiklerinin %99'u kadar, diğer değişkenlerin dinamiklerinin ise %1'i kadar geciktiğini göstermektedir. Kullanılan veri setinde genellikle iki değişken arasında negatif bir bağlantı gözlemlenmemektedir.

Proje Numarası

Non

Kaynakça

• Addoum, J. M., Eichholtz, P., Steiner, E., & Yönder, E. (2021). Climate Change and Commercial Real Estate: Evidence from Hurricane Sandy. SRPN: Other Built Environment (Topic), 1-46.
• Adler, C. E., & Hadorn, G. H. (2014). The IPCC and treatment of uncertainties: topics and sources of dissensus. WIREs Clim Change 5, 663–676.
• Armao, M. (2021, November 15). Coastal Californians, prepare for the ocean to rise 10 feet by century’s end. Retrieved from Grist.org: https://grist.org/climate/california-coast-towns-warned-of-rising-seal-level/
• Barnett, M., Brock, W., & Hansen, L. P. (2020). Pricing Uncertainty Induced by Climate. The Review of Financial Studies, 1025-1066.
• Botts, H. (2021). How Is Climate Change Affecting Real Estate? (M. B. Smith, Interviewer)
• Brooker, J. (2021). Blizzard warnings in Hawaii, no snow in Denver: What’s behind this month’s wild weather? Retrieved from Grist.org: https://grist.org/climate/blizzard-warnings-in-hawaii-no-snow-in-denver-whats-behind-this-months-wild-weather/
• Baldauf, M., Garlappi, L., & Yann, C. (2020). Does Climate Change Affect Real Estate Prices? Only If You Believe In It. Review of Financial Studies, 33, 1256-1295.
• Bienert, S. (2016). Climate Change Implications for Real Estate Portfolio Allocation. The Urban Land Institute, 1-23.
• Craig, M. (2021). Climate Natural Disaster Risk Listening Session. (H. Reza, Interviewer) www.fhfa.gov.
• Heberger, M., Cooley, H., Herrera, P., Gleick, P. H., & Moore, E. (2009). The Impacts of Sea Level Rise on the California Coast. California: California Climate Change Center.
• Hino, M., & Burke, M. (2021). The effect of information about climate risk on property values. Proceedings of the National Academies of Sciences, 1-9.
• Painter, J. (2011). The international reporting of climate scepticism. University of Oxford, UK: The Reuters Institute for the Study of Journalism.
• Segal, J. (2021). If There Were a VIX for Weather, It Would Be Off the Charts. institutional Investor, 4.
• Cleetus, R. (2021, March 4). Climate Natural Disaster Risk Listening Session. (H. Reza, Interviewer) www.fhfa.gov.
• Dickey, D. A., & Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series With a Unit Root. Journal of American Statistical Assosiaction, 427-431.
• Dieter , C. A., Maupin, M. A., & Caldw, R. R. (2015). ESG Environmental. U.S. Department of the Interior: www.fanniemae.com.
• EPU. (2021). Retrieved from Climate Policy Uncertainty Index: https://www.policyuncertainty.com/climate_uncertainty.html
• Fried, S., Novan, K., & Peterman, W. B. (2021). The Macro Effects of Climate Policy Uncertainty. Washington, D.C.: Finance and Economics Discussion Series, Divisions of Research & Statistics and Monetary Affairs, Federal Reserve Board.
• FSF. (2020). First Street Foundation releases new data disclosing the flood risk of every home in the contiguous U.S. United States of America: First Street Foundation .
• FSF. (2020). The First National Flood Risk Assessment: Defining America’s Growing Risk. United States of America: The First Street Foundation.
• Gavriilidis, K. (2021). Measuring Climate Policy Uncertainty. https://ssrn.com/abstract=3847388., 1-9.
• Granger, C. W. (1987). Co-Integration and Error Correction: Representaion, Estamation, and Testing. The Econometric Society, 251-276.
• Halary, B., & Bonifacio , P. (2021). Zero carbon, a critical ESG challenge for the Real Estate sector. https://gresb.com/nl-en/zero-carbon-a-critical-esg-challenge-for-the-real-estate-sector/.
• He, B. (2021). House prices rising at fastest pace in 32 years as listings can't keep up with demand: CoreLogic. (S. Chalmers, Interviewer) https://www.abc.net.au/news/2021-04-01/home-prices-rise-at-fastest-pace-in-2-years-in-march-corelogic/100043190.
• Hersher, R. (2020). Living In Harm's Way: Why Most Flood Risk Is Not Disclosed. Virginia: www.npr.org.
• Hersher, R., & Sommer, L. (2020). Major Real Estate Website Now Shows Flood Risk. Should They All? California: NPR.com.
• Jordan , R. (2021). Stanford researchers reveal that homes in floodplains are overvalued by nearly $44 billion. Stanford: Stanford Woods Institute for the Environment.
• Lawson, N. (2011). Uncertainty in climate science. Retrieved from https://www.carbonbrief.org/uncertainty-in-climate-science
• Levin, K., Waskow, D., & Gerholdt, R. (2021, August 9). 5 Big Findings from the IPCC’s 2021 Climate Report. Retrieved from World Resourses Institute: https://www.wri.org/insights/ipcc-climate-report Majumder, B., Kelly, C., Garcia, S., Erwin, K., & Rocha, Y. A. (2021). Securing a Safe, Just, and Climate-Ready Future for Florida. Florida: www.americanprogress.org.
• Meah, N. (2019). Climate uncertainty and policy making—what do policy makers. Regional Environmental Change, 1611–1621.
• Meyers, R., Carter, A., & Goldstein , M. (2021). How Infrastructure Reform Can Prioritize Ocean Climate Action. California: www.americanprogress.org.
• Myers, G. W., Aschwanden, G. , Fuerst, F., & Krause , A. (2018). Estimating the Potential Risks of Sea Level Rise for Public and Private Property Ownership, Occupation and Management. Risks, 2-21.
• Ouazad, A. (2021, March 4). Climate Natural Disaster Risk. (H. Reza, Interviewer) www.fhfa.gov.
• PU Indices. (2021, December 1). Policy Uncertainty Indices. Retrieved from https://www.policyuncertainty.com/
• Realtor.com. (2020). Retrieved from Realtor.com: https://www.npr.org/2020/08/26/905551631/major-real-estate-website-now-shows-flood-risk-should-they-all
• Refdin.com. (2021). Retrieved from https://www.redfin.com/
• Sadasivam, N. (2021). How homeowners of color are threatened by climate change and climate policy. Texas: hgrist.org.
• Semenenko, I., & Yoo, J. (2019). Climate Change and Real Estate Prices. International Journal of Economics and Finance, 11, 1-11.
• Shahid, S., Pour, S. H., Wang, X., Shourav, S. A., Minhans, A., & Ismail, T. (2017). Impacts and adaptation to climate change in Malaysian real estate. International Journal of Climate Change Strategies and Management, 9, 87-103.
• Straussa, B. H., Kulpa, S., & Levermann, A. (2015). Carbon choices determine US cities committed to futures below sea level. Proceedings of the National Academy of Science of the United States of America, 112, 13508-13513.
• Tiwari, P., & Hurlimann, A. C. (2020). Climate change and risk to real estate.
• VAR. (n.d.). Vector Autoregressions (VARs). Retrieved from http://www.eviews.com/help/helpintro.html#page/content/VAR-Vector_Autoregressions_(VARs).html
• Yohe, G., & Oppenheimer, M. (2011). Evaluation, characterization, and communication of uncertainty by the intergovernmental panel on climate change—an introductory essay. Climatic Change, 629–639.
• Estately.com. (2021). Retrieved from https://www.estately.com/
• Eviews. (n.d.). eviews.com. Retrieved from http://www.eviews.com/home.html
• Floodfactor. (2021). Retrieved from floodfactor.com: https://floodfactor.com/