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Sovereign ratings change under climate risks

Author

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  • Sun, Xiaolei
  • Shen, Yiran
  • Guo, Kun
  • Ji, Qiang

Abstract

Do climate risks affect sovereign ratings? This study selects 117 countries around the globe and constructs the ordered logit model to study the relationship between climate risks and sovereign ratings quantitatively. It also determines the importance of climate risk factors compared with traditional sovereign rating determinants through a random forest model. The empirical results show that climate vulnerability and readiness have become new determinants that have received some attention in the sovereign rating system, and after controlling for traditional sovereign rating determinants including macroeconomic, political, and external factors, climate vulnerability has a significant negative effect on sovereign ratings, and climate readiness has a significant positive effect on sovereign ratings. The heterogeneity results suggest that the impacts of climate risks are stronger for developing and high-damaged countries and that greater gains can be achieved by increasing climate readiness for these countries. This study provides new evidence to quantify the impacts of climate risks on sovereign ratings and provides decision support for countries to cope with the adverse impacts of climate change.

Suggested Citation

  • Sun, Xiaolei & Shen, Yiran & Guo, Kun & Ji, Qiang, 2023. "Sovereign ratings change under climate risks," Research in International Business and Finance, Elsevier, vol. 66(C).
  • Handle: RePEc:eee:riibaf:v:66:y:2023:i:c:s0275531923001666
    DOI: 10.1016/j.ribaf.2023.102040
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    References listed on IDEAS

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    1. Athari, Seyed Alireza & Kondoz, Mehmet & Kirikkaleli, Dervis, 2021. "Dependency between sovereign credit ratings and economic risk: Insight from Balkan countries," Journal of Economics and Business, Elsevier, vol. 116(C).
    2. Boitan, Iustina Alina & Marchewka-Bartkowiak, Kamilla, 2022. "Climate change and the pricing of sovereign debt: Insights from European markets," Research in International Business and Finance, Elsevier, vol. 62(C).
    3. Chen, Yajie & Guo, Kun & Ji, Qiang & Zhang, Dayong, 2023. "“Not all climate risks are alike”: Heterogeneous responses of financial firms to natural disasters in China," Finance Research Letters, Elsevier, vol. 52(C).
    4. Wang, Jun & Sun, Xiaolei & Li, Jianping, 2020. "How do sovereign credit default swap spreads behave under extreme oil price movements? Evidence from G7 and BRICS countries," Finance Research Letters, Elsevier, vol. 34(C).
    5. Luitel, Prabesh & Vanpée, Rosanne & De Moor, Lieven, 2016. "Pernicious effects: How the credit rating agencies disadvantage emerging markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 286-298.
    6. Ding, Hao & Ji, Qiang & Ma, Rufei & Zhai, Pengxiang, 2022. "High-carbon screening out: A DCC-MIDAS-climate policy risk method," Finance Research Letters, Elsevier, vol. 47(PA).
    7. Boumparis, Periklis & Milas, Costas & Panagiotidis, Theodore, 2017. "Economic policy uncertainty and sovereign credit rating decisions: Panel quantile evidence for the Eurozone," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 39-71.
    8. Reusens, Peter & Croux, Christophe, 2017. "Sovereign credit rating determinants: A comparison before and after the European debt crisis," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 108-121.
    9. 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.
    10. Cuadros-Solas, Pedro Jesús & Salvador Muñoz, Carlos, 2022. "Disentangling the sources of sovereign rating adjustments: An examination of changes in rating policies following the GFC," Research in International Business and Finance, Elsevier, vol. 59(C).
    11. Xiaolei Sun & Qianqian Feng & Jianping Li, 2021. "Understanding country risk assessment: a historical review," Applied Economics, Taylor & Francis Journals, vol. 53(37), pages 4329-4341, August.
    12. Ozturk, Huseyin & Namli, Ersin & Erdal, Halil Ibrahim, 2016. "Modelling sovereign credit ratings: The accuracy of models in a heterogeneous sample," Economic Modelling, Elsevier, vol. 54(C), pages 469-478.
    13. Manzoni, Katiuscia, 2004. "Modeling Eurobond credit ratings and forecasting downgrade probability," International Review of Financial Analysis, Elsevier, vol. 13(3), pages 277-300.
    14. Constantin Mellios & Eric Paget-Blanc, 2006. "Which factors determine sovereign credit ratings?," The European Journal of Finance, Taylor & Francis Journals, vol. 12(4), pages 361-377.
    15. Ayadi, Mohamed A. & Ben Omrane, Walid & Lazrak, Skander & Yan, Xusheng, 2020. "OPEC production decisions, macroeconomic news, and volatility in the Canadian currency and oil markets," Finance Research Letters, Elsevier, vol. 37(C).
    16. Antonio Afonso, 2003. "Understanding the determinants of sovereign debt ratings: Evidence for the two leading agencies," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 27(1), pages 56-74, March.
    17. Richard Cantor & Frank Packer, 1996. "Determinants and impact of sovereign credit ratings," Economic Policy Review, Federal Reserve Bank of New York, vol. 2(Oct), pages 37-53.
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    2. Bouri, Elie & Gupta, Rangan & Pierdzioch, Christian, 2024. "Modeling the presidential approval ratings of the United States using machine-learning: Does climate policy uncertainty matter?," European Journal of Political Economy, Elsevier, vol. 85(C).
    3. Guo, Kun & Luan, Liyuan & Cai, Xiaoli & Zhang, Dayong & Ji, Qiang, 2024. "Energy trade stability of China: Policy options with increasing climate risks," Energy Policy, Elsevier, vol. 184(C).
    4. Ji, Qiang & Ma, Dandan & Zhai, Pengxiang & Fan, Ying & Zhang, Dayong, 2024. "Global climate policy uncertainty and financial markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 95(C).
    5. Zhizhen Chen & Guifen Shi & Boyang Sun, 2024. "Cross-border spillovers in G20 sovereign CDS markets: cluster analysis based on K-means machine learning algorithm and TVP–VAR models," Empirical Economics, Springer, vol. 67(6), pages 2463-2502, December.
    6. Zhu, Wenqiang & Li, Shouwei & Su, Hongyu & Yang, Sitong, 2025. "Identification of systemic financial risks: The role of climate risks," Finance Research Letters, Elsevier, vol. 74(C).
    7. Liu, Peng & Chen, Yaru & Mu, Yan, 2024. "The impact of climate risk aversion on agribusiness share price volatility," Finance Research Letters, Elsevier, vol. 61(C).
    8. Chen, Wen & Zhang, Qiuyue, 2025. "Can corporate climate risk drive digital transformation? Evidence from Chinese heavy-polluting enterprises," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    9. Chen, Pengyu & Chu, Zhongzhu & Dagestani, Abd Alwahed & Han, Hui, 2025. "Responding to SDG13: Exploring the role of renewable energy in physical climate risk governance," Energy, Elsevier, vol. 338(C).
    10. Tian, Yingjie & Wen, Haonan & Guo, Kun, 2025. "Machine learning applications in climate finance: An overview," Research in International Business and Finance, Elsevier, vol. 79(C).
    11. Rangan Gupta & Christian Pierdzioch, 2024. "Climate Policy Uncertainty and Financial Stress: Evidence for China," Working Papers 202428, University of Pretoria, Department of Economics.
    12. Ma, Yu & Zhao, Wenxia & Ding, Zijun, 2025. "Does climate risk influence exchange rates?," Global Finance Journal, Elsevier, vol. 68(C).
    13. Zhang, Jing & Lin, Xiaole & An, Qiguang, 2026. "Dynamic response of the natural interest rate to extreme climate," Research in International Business and Finance, Elsevier, vol. 81(C).
    14. Ma, Dandan & Zhang, Yunhan & Ji, Qiang & Zhao, Wan-Li & Zhai, Pengxiang, 2024. "Heterogeneous impacts of climate change news on China's financial markets," International Review of Financial Analysis, Elsevier, vol. 91(C).
    15. Alessi, Lucia & Duranovic, Anja & Kvedaras, Virmantas & Monasterolo, Irene, 2025. "From risks to opportunities: The impact of green public investment programs on sovereign yields," Research in International Business and Finance, Elsevier, vol. 77(PA).

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