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Climate Risks and Prediction of Sectoral REITs Volatility: International Evidence

Author

Listed:
  • Afees A. Salisu

    (Centre for Econometrics & Applied Research, Ibadan, Nigeria; Department of Economics, University of Pretoria, Pretoria, 0002, South Africa)

  • Ahamuefula E. Ogbonna

    (Centre for Econometrics & Applied Research, Ibadan, Nigeria)

  • Elie Bouri

    (School of Business, Lebanese American University, Lebanon)

  • Rangan Gupta

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

Abstract
This study examines the nexus between climate risks and the return volatility of the real estate investment trusts (REITs) market, a topic of increasing importance for market participants in both emerging and developed economies. Using sectoral REITs from 14 selected countries and alternative measures of climate risks involving both country-specific (climate change vulnerability index, based on climate news) and global (climate policy uncertainty index) measures, reflecting both physical and transition climate risks, we apply a predictive model that accommodates the salient features of the data. Our results indicate that REIT volatility generally increases in response to climate policy uncertainty in most countries. However, the resilience of REITs to the adverse effects of climate change is underscored, providing a sense of confidence in the market's ability to withstand these climate challenges. This outcome transcends the in-sample predictability as the out-of-sample forecast performance validates the predictive content of climate change risks for REITs return volatility. The findings have important practical and policy implications.

Suggested Citation

  • Afees A. Salisu & Ahamuefula E. Ogbonna & Elie Bouri & Rangan Gupta, 2024. "Climate Risks and Prediction of Sectoral REITs Volatility: International Evidence," Working Papers 202434, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:202434
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    References listed on IDEAS

    as
    1. Stephen Lee & Simon Stevenson, 2005. "The Case for REITs in the Mixed-Asset Portfolio in the Short and Long Run," Journal of Real Estate Portfolio Management, Taylor & Francis Journals, vol. 11(1), pages 55-80, January.
    2. Zhang, Jilin & Lai, Yongzeng & Lin, Jianghong, 2017. "The day-of-the-Week effects of stock markets in different countries," Finance Research Letters, Elsevier, vol. 20(C), pages 47-62.
    3. Hoesli, Martin & Oikarinen, Elias, 2012. "Are REITs real estate? Evidence from international sector level data," Journal of International Money and Finance, Elsevier, vol. 31(7), pages 1823-1850.
    4. Robert F Engle & Stefano Giglio & Bryan Kelly & Heebum Lee & Johannes Stroebel, 2020. "Hedging Climate Change News," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1184-1216.
    5. Afees A. Salisu & Juncal Cuñado & Kazeem Isah & Rangan Gupta, 2021. "Stock markets and exchange rate behavior of the BRICS," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1581-1595, December.
    6. Oestreich, A. Marcel & Tsiakas, Ilias, 2015. "Carbon emissions and stock returns: Evidence from the EU Emissions Trading Scheme," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 294-308.
    7. Joakim Westerlund & Paresh Narayan, 2015. "Testing for Predictability in Conditionally Heteroskedastic Stock Returns," Journal of Financial Econometrics, Oxford University Press, vol. 13(2), pages 342-375.
    8. Marfatia, Hardik A. & Gupta, Rangan & Cakan, Esin, 2017. "The international REIT’s time-varying response to the U.S. monetary policy and macroeconomic surprises," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 640-653.
    9. Mawuli Segnon & Rangan Gupta & Keagile Lesame & Mark E. Wohar, 2021. "High-Frequency Volatility Forecasting of US Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 62(2), pages 283-317, February.
    10. Darwin Choi & Zhenyu Gao & Wenxi Jiang, 2020. "Attention to Global Warming," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1112-1145.
    11. Kevin Chiang & Ming-Long National, 2007. "Spanning Tests on Public and Private Real Estate," Journal of Real Estate Portfolio Management, Taylor & Francis Journals, vol. 13(1), pages 7-15, January.
    12. Westerlund, Joakim & Narayan, Paresh Kumar, 2012. "Does the choice of estimator matter when forecasting returns?," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2632-2640.
    13. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    14. Afees A. Salisu & Yinka S. Hammed & Ibrahim Ngananga Ouattara, 2023. "Climate Change, Technology Shocks and the US Equity Real Estate Investment Trusts (REITs)," Sustainability, MDPI, vol. 15(19), pages 1-22, October.
    15. Yaya, OlaOluwa S & Ogbonna, Ephraim A, 2019. "Do we Experience Day-of-the-week Effects in Returns and Volatility of Cryptocurrency?," MPRA Paper 91429, University Library of Munich, Germany.
    16. Biasin, Massimo & Delle Foglie, Andrea & Giacomini, Emanuela, 2024. "Addressing climate challenges through ESG-real estate investment strategies: An asset allocation perspective," Finance Research Letters, Elsevier, vol. 63(C).
    17. Narayan, Paresh Kumar & Gupta, Rangan, 2015. "Has oil price predicted stock returns for over a century?," Energy Economics, Elsevier, vol. 48(C), pages 18-23.
    18. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2009. "Temperature and Income: Reconciling New Cross-Sectional and Panel Estimates," American Economic Review, American Economic Association, vol. 99(2), pages 198-204, May.
    19. Afees A. Salisu & Juncal Cuñado & Kazeem Isah & Rangan Gupta, 2021. "Oil Price and Exchange Rate Behaviour of the BRICS," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(7), pages 2042-2051, May.
    20. Stefano Giglio & Matteo Maggiori & Krishna Rao & Johannes Stroebel & Andreas Weber & Stijn Van Nieuwerburgh, 2021. "Climate Change and Long-Run Discount Rates: Evidence from Real Estate [Abrupt climate change]," The Review of Financial Studies, Society for Financial Studies, vol. 34(8), pages 3527-3571.
    21. Fava, Santino Del & Gupta, Rangan & Pierdzioch, Christian & Rognone, Lavinia, 2024. "Forecasting international financial stress: The role of climate risks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 92(C).
    22. Guo, Kun & Li, Yichong & Zhang, Yunhan & Ji, Qiang & Zhao, Wanli, 2023. "How are climate risk shocks connected to agricultural markets?," Journal of Commodity Markets, Elsevier, vol. 32(C).
    23. Claudia Custodio & Miguel A. Ferreira & Emilia Garcia-Appendini & Adrian Lam, 2022. "Economic impact of climate change," Nova SBE Working Paper Series wp645, Universidade Nova de Lisboa, Nova School of Business and Economics.
    24. Ser-Huang Poon & Clive W.J. Granger, 2003. "Forecasting Volatility in Financial Markets: A Review," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 478-539, June.
    25. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Narayan, Paresh Kumar, 2015. "Stock return forecasting: Some new evidence," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 38-51.
    26. repec:arz:wpaper:eres2012-232 is not listed on IDEAS
    27. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2012. "Temperature Shocks and Economic Growth: Evidence from the Last Half Century," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(3), pages 66-95, July.
    28. Afees Salisu & Philip Omoke & Olalekan Fadiya, 2023. "Climate Policy Uncertainty and Crude Oil Market Volatility," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 4(1), pages 1-5.
    29. Randy I. Anderson & Richard McLemore & Philip Conner & Youguo Liang, 2003. "Portfolio Implications of Apartment Investing," Journal of Real Estate Research, American Real Estate Society, vol. 25(2), pages 113-132.
    30. 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.
    31. Huynh, Thanh D. & Xia, Ying, 2021. "Climate Change News Risk and Corporate Bond Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(6), pages 1985-2009, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Climate risks; emerging and developed economies; sectoral REITs; realized volatility; feasible quasi-generalized least squares (FQGLS) method; forecast evaluation;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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