The Impact of Climate Risk on Credit Risk Parameters. Evidence from Five EU Economies
DOI:
https://doi.org/10.18778/0208-6018.370.02Keywords:
credit risk, climate change, risk parameters, stress testing, climate riskAbstract
Increasingly frequent extreme weather events, leading to rising climate risk, are one of the key aspects that financial institutions presently analyse. This paper highlights the connection between climate risk indicators and two main drivers of the traditional risk management process: default rates and loss rates. This information is valuable to financial institutions, enabling them to manage climate change risks more effectively. The study fills a scientific gap by using new indicators to analyse the impact of climate risk on credit risk in the largest EU economies. We show the results for the five biggest European Union economies (Germany, Spain, Italy, the Netherlands, and France). We demonstrate strong, moderate, and weak connections for each pair of climate risk drivers and risk parameters using three correlation measures: Pearson, Spearman, and Kendall-Tau. Significant differences are observed between countries, with the highest number of correlated variables in the Netherlands. A high correlation is also observed in France and Italy, while the correlations in Spain and Germany are less pronounced. The correlations also vary by asset class, highlighting the need for a case-by-case approach to climate risk assessment.
Downloads
References
Albitar K., Al-Shaer H., Liu Y.S. (2022), Corporate commitment to climate change: The effect of eco-innovation and climate governance, “Research Policy”, vol. 52(2), 104697.
Google Scholar
DOI: https://doi.org/10.1016/j.respol.2022.104697
Albitar K., Nasrallah N., Hussainey K., Wang Y. (2024), Eco-innovation and corporate waste management: The moderating role of ESG performance, “Review of Quantitative Finance and Accounting”, vol. 63(2), pp. 781–805.
Google Scholar
DOI: https://doi.org/10.1007/s11156-024-01281-5
Aslan C., Bulut E., Cepni O., Yilmaz M.H. (2022), Does climate change affect bank lending behavior?, “Economics Letters”, vol. 220, 110859.
Google Scholar
DOI: https://doi.org/10.1016/j.econlet.2022.110859
Assouan S. (2012), Stress testing a retail loan portfolio: An error correction model approach, “The Journal of Risk Model Validation”, vol. 6(1), pp. 3–25.
Google Scholar
DOI: https://doi.org/10.21314/JRMV.2012.082
Australian Prudential Regulation Authority (2021), Climate Vulnerability Assessment, https://www.apra.gov.au/sites/default/files/2021-09/Climate%20Vulnerability%20Assessment_1.pdf [accessed: 1.11.2024].
Google Scholar
Bank for International Settlements (2020), Climate-related financial risks: a survey on current initiatives, https://www.bis.org/bcbs/publ/d502.htm [accessed: 1.11.2024].
Google Scholar
Bank for International Settlements (2021), Climate-related financial risks – measurement methodologies. https://www.bis.org/bcbs/publ/d518.htm [accessed: 1.11.2024].
Google Scholar
Barboza F., Kimura H., Sobreiro V.A., Basso L.F.C. (2016), Credit risk: from a systematic literature review to future directions, “Corporate Ownership and Control”, vol. 13(3), pp. 326–346.
Google Scholar
DOI: https://doi.org/10.22495/cocv13i3c2p6
Baudino P., Svoronos J. (2021), Stress-testing banks for climate change – a comparison of practices, Bank for International Settlements, https://www.bis.org/fsi/publ/insights34.htm [accessed: 1.11.2024].
Google Scholar
Baudino P., Herrera M., Restoy F. (2023), The 2008–14 banking crisis in Spain, Bank for International Settlements, https://www.bis.org/fsi/fsicms4.htm [accessed: 1.11.2024].
Google Scholar
Bell F., Vuuren G. van (2022). The impact of climate risk on corporate credit risk, “Cogent Economics & Finance”, vol. 10(1), 2148362.
Google Scholar
DOI: https://doi.org/10.1080/23322039.2022.2148362
Berthold M., Höppner F. (2016), On Clustering Time Series Using Euclidean Distance and Pearson Correlation, https://doi.org/10.48550/arXiv.1601.02213
Google Scholar
Boccuzzi G. (2022), Banking Crises in Italy, Palgrave Macmillan, Cham.
Google Scholar
DOI: https://doi.org/10.1007/978-3-031-01344-7
Brundtland G.H. (1987), Our Common Future: Report of the World Commission on Environment and Development, UN-Dokument A/42/427, Geneva.
Google Scholar
Campiglio E., Dafermos Y., Monnin P., Ryan-Collins J., Schotten G., Tanaka M. (2018), Climate change challenges for central banks and financial regulators, “Nature Climate Change”, vol. 8(6), pp. 462–468.
Google Scholar
DOI: https://doi.org/10.1038/s41558-018-0175-0
Capasso G., Gianfrante G., Spinelli M. (2020), Climate Change and Credit Risk, “Journal of Cleaner Production”, vol. 266, 121634.
Google Scholar
DOI: https://doi.org/10.1016/j.jclepro.2020.121634
Dagum E.B., Cholette P.A. (2006), Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series. Lecture Notes in Statistics, Springer-Verlag, New York.
Google Scholar
Default, Transition, and Recovery: 2020 Annual Global Financial Services Default And Rating Transition Study (2021), https://www.spglobal.com/ratings/en/research/articles/210914-default-transition-and-recovery-2020-annual-global-financial-services-default-and-rating-transition-study-12105504 [accessed: 1.11.2024].
Google Scholar
Díaz-García C., González-Moreno Á., Sáez-Martínez F.J. (2015), Eco-innovation: insights from a literature review, “Innovation”, vol. 17(1), pp. 6–23.
Google Scholar
DOI: https://doi.org/10.1080/14479338.2015.1011060
Dziawgo L. (2014), Greening financial market, “Copernican Journal of Finance & Accounting”, vol. 3(2), 9.
Google Scholar
DOI: https://doi.org/10.12775/CJFA.2014.014
EPCRA (1986), Emergency Planning and Community Right-to-Know Act of 1986.
Google Scholar
European Banking Authority (2023), Report on the role of environmental and social risks in the prudential framework, https://www.eba.europa.eu/publications-and-media/press-releases/eba-recommends-enhancements-pillar-1-framework-capture [accessed: 1.11.2024].
Google Scholar
European Banking Authority (2025), Guidelines on the management of environmental, social and governance (ESG) risks, https://www.eba.europa.eu/publications-and-media/press-releases/eba-publishes-its-final-guidelines-management-esg-risks [accessed: 1.11.2024].
Google Scholar
European Banking Authority (n.d.), Risk dashboard, https://www.eba.europa.eu/risk-and-data-analysis/risk-analysis/risk-monitoring/risk-dashboard [accessed: 1.11.2024].
Google Scholar
European Central Bank (2020), Guide on climate-related and environmental risks, https://www.bankingsupervision.europa.eu/ecb/pub/pdf/ssm.202011finalguideonclimate-relatedandenvironmentalrisks~58213f6564.en.pdf [accessed: 1.11.2024].
Google Scholar
European Commission (2024), EU eco-innovation index 2024, https://data.europa.eu/doi/10.2777/4878812 [accessed: 1.11.2024].
Google Scholar
European Commission (n.d.), Germany, https://commission.europa.eu/strategy-and-policy/coronavirus-response/supporting-jobs-and-economy-during-coronavirus-pandemic/state-aid-cases/germany_en [accessed: 1.11.2024].
Google Scholar
European Environment Agency’s Home Page (2024), Climate change impacts, risks and adaptation, https://www.eea.europa.eu/en/topics/in-depth/climate-change-impacts-risks-and-adaptation?activeTab=fa515f0c-9ab0-493c-b4cd-58a32dfaae0a [accessed: 1.11.2024].
Google Scholar
European Union (n.d.), Facts and figures on the European Union, https://european-union.europa.eu/principles-countries-history/facts-and-figures-european-union_en [accessed: 1.11.2024].
Google Scholar
Eurostat (2024), Climate related economic losses by type of event – values at constant 2022 prices, https://doi.org/10.2908/CLI_IAD_LOSS [accessed: 1.11.2024].
Google Scholar
Eurostat (2025), Gross domestic product at market prices, https://ec.europa.eu/eurostat/databrowser/view/tec00001/bookmark/table?lang=en&bookmarkId=e9c367f7-dab3-4407-82ec-9ed814f9e6da [accessed: 2.11.2024].
Google Scholar
Galindo J., Tamayo P. (2000), Credit Risk Assessment Using Statistical and Machine Learning: Basic Methodology and Risk Modeling Applications, “Computational Economics”, vol. 15(1/2), pp. 107–143.
Google Scholar
Giglio S., Kelly B., Stroebel J. (2021), Climate finance, “Annual Review of Financial Economics”, vol. 13(1), pp. 15–36.
Google Scholar
DOI: https://doi.org/10.1146/annurev-financial-102620-103311
Global Sustainable Investment Alliance (2019), 2018 Global Sustainable Investment Review, https://www.greenfinanceplatform.org/research/2018-global-sustainable-investment-review [accessed: 1.11.2024].
Google Scholar
Godde C., Mason-D’Croz D., Mayberry D., Thornton P., Herrero M. (2021), Impacts of climate change on the livestock food supply chain; a review of the evidence, “Global Food Security”, vol. 28, 100488, https://doi.org/10.1016/j.gfs.2020.100488
Google Scholar
DOI: https://doi.org/10.1016/j.gfs.2020.100488
Greiff K. de, Delis M., Ongena S. (2018), Being Stranded on the Carbon Bubble? Climate Policy Risk and the Pricing of Bank Loans, “CEPR Discussion Papers”, https://ssrn.com/abstract=3178099 [accessed: 1.11.2024].
Google Scholar
Griffin P.A. (2020), Energy finance must account for extreme weather risk, “Nature Energy”, vol. 5(2), pp. 98–100.
Google Scholar
DOI: https://doi.org/10.1038/s41560-020-0548-2
Griffin P.A., Sun E. (2024), Climate-Related Financial Risk: Insights from a Semisystematic Review of the Literature and Implications for Financial Reporting, “The International Journal of Accounting”, vol. 59(02), 2450007.
Google Scholar
DOI: https://doi.org/10.1142/S1094406024500070
Haines A., Kovats R., Campbell-Lendrum D., Corvalan C. (2006), Climate change and human health: Impacts, vulnerability and public health, “Public Health”, vol. 120(7), pp. 585–596.
Google Scholar
DOI: https://doi.org/10.1016/j.puhe.2006.01.002
Hamed K. (2009), Effect of persistence on the significance of Kendall’s tau as a measure of correlation between natural time series, “The European Physical Journal Special Topics”, vol. 174, pp. 65–79.
Google Scholar
DOI: https://doi.org/10.1140/epjst/e2009-01090-x
IPCC (2023), Climate Change 2022 – Impacts, Adaptation and Vulnerability: Working Group II Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge.
Google Scholar
Jarrow R.A., Protter P. (2012), Structural versus Reduced-Form Models: A New Information-Based Perspective, [in:] H. Gifford Fong (ed.), The Credit Market Handbook: Advanced Modeling Issues, Wiley, Hoboken, pp. 118–131.
Google Scholar
DOI: https://doi.org/10.1002/9781119201892.ch6
Kasraoui N., Ben-Ahmed K., Feidi A. (2024), The Impact of Green Innovation on the Financial Performance of Companies: Context of MENA Countries, [in:] A. Hamdan, B. Alareeni, R. Khamis (eds.), Digital Technology and Changing Roles in Managerial and Financial Accounting: Theoretical Knowledge and Practical Application (Studies in Managerial and Financial Accounting, vol. 36), Emerald Publishing Limited, Leeds, pp. 87–94.
Google Scholar
DOI: https://doi.org/10.1108/S1479-351220240000036008
Kemp R., Pearson P. (2008), MEI project about Measuring Eco-Innovation. Final report, Universiteit Maastricht, Maastricht.
Google Scholar
Kleimeier S., Viehs P. (2016), Carbon disclosure, emission levels, and the cost of debt, GSBE Research Memoranda, 003, https://ideas.repec.org/p/unm/umagsb/2016003.html [accessed: 1.11.2024].
Google Scholar
DOI: https://doi.org/10.2139/ssrn.2719665
Klimczak K.M., Hadro D., Meyer M. (2023), Executive communication with stakeholders on sustainability: the case of Poland, “Accounting in Europe”, vol. 20(3), pp. 281–303.
Google Scholar
DOI: https://doi.org/10.1080/17449480.2023.2213242
Korzeb Z., Niedziółka P., Szpilko D., Di Pietro F. (2024), ESG and climate-related risks versus traditional risks in commercial banking: A bibliometric and thematic review, “Future Business Journal”, vol. 10(1), 106.
Google Scholar
DOI: https://doi.org/10.1186/s43093-024-00392-8
Kurniawan E., Nurulrahmatia N., Muniarty P. (2024), Pengaruh Risiko Kredit dan Likuiditas terhadap Kecukupan Modal pada Bank Syariah yang Tercatat Di BEI, “Akuntansi Pajak dan Kebijakan Ekonomi Digital”, vol. 1(3), pp. 251–271.
Google Scholar
DOI: https://doi.org/10.61132/apke.v1i3.386
Marcinkowska M. (2022), Próby włączenia ryzyka ESG do unijnych regulacji ostrożnościowych dla banków, “Bezpieczny Bank”, no. 88(3), pp. 35–65.
Google Scholar
Marcinkowska M. (2023), Ryzyko w europejskim systemie bankowym, “Bezpieczny Bank”, no. 2(91), pp. 8–33.
Google Scholar
Mendelsohn R. (2009), The impact of climate change on agriculture in developing countries, “Journal of Natural Resources Policy Research”, vol. 1(1), pp. 5–19.
Google Scholar
DOI: https://doi.org/10.1080/19390450802495882
Michalak J. (2017), Wskaźniki finansowe i niefinansowe w raportach strategicznych spółek z Wielkiej Brytanii – analiza z perspektywy oceny spółek przez inwestorów odpowiedzialnych społecznie, “Acta Universitatis Lodziensis. Folia Oeconomica”, vol. 1(327), pp. 59–74.
Google Scholar
DOI: https://doi.org/10.18778/0208-6018.327.04
Mochizuki J., Mechler R., Hochrainer-Stigler S., Schinko T. (2016), Pan-European Assessment of Fiscal Consequence of Climate Extremes, https://pure.iiasa.ac.at/id/eprint/14861/ [accessed: 1.11.2024].
Google Scholar
Monnin P. (2018), Integrating Climate Risks into Credit Risk Assessment – Current Methodologies and the Case of Central Banks Corporate Bond Purchases, “SSRN Electronic Journal”, https://www.researchgate.net/publication/332785110_Integrating_Climate_Risks_into_Credit_Risk_Assessment_-_Current_Methodologies_and_the_Case_of_Central_Banks_Corporate_Bond_Purchases [accessed: 1.11.2024].
Google Scholar
DOI: https://doi.org/10.2139/ssrn.3350918
Mudelsee M. (2003), Estimating Pearson’s Correlation Coefficient with Bootstrap Confidence Interval from Serially Dependent Time Series, “Mathematical Geology”, vol. 35, pp. 651–665.
Google Scholar
DOI: https://doi.org/10.1023/B:MATG.0000002982.52104.02
Muzuva M., Muzuva D. (2024), The impact of climate change on banks loan portfolios and strategies for effective climate risk management, “International Journal of Research in Business and Social Science”, vol. 13(6), pp. 148–157.
Google Scholar
DOI: https://doi.org/10.20525/ijrbs.v13i6.3510
Newman R., Noy I. (2023), The global costs of extreme weather that are attributable to climate change, “Nature Communications”, vol. 14(1), 6103.
Google Scholar
DOI: https://doi.org/10.1038/s41467-023-41888-1
Nguyen N.P., Adomako S. (2021), Stakeholder pressure for eco‐friendly practices, international orientation, and eco‐innovation: A study of small and medium‐sized enterprises in Vietnam, “Corporate Social Responsibility and Environmental Management”, vol. 29(1), pp. 79–88.
Google Scholar
DOI: https://doi.org/10.1002/csr.2185
Nkwaira C., Poll H.M. van der (2023), The intricacies of Climate-Related Risks on European Banks’ estimation of expected credit losses: Linking proper accounting of climate risks to shareholder required returns, “Eurasian Journal of Economics and Finance”, vol. 11(1), pp. 1–14.
Google Scholar
DOI: https://doi.org/10.15604/ejef.2023.11.01.001
Paulmoni N.R., Manonmani C., Kavitha N.N., Poonam N., Dhanasekaran P., Mohit N. (2024), Impact of Green Innovation (GI) Performance on Competitive Advantage of Firms in India, “ShodhKosh Journal of Visual and Performing Arts”, vol. 5(1), pp. 2064–2072.
Google Scholar
DOI: https://doi.org/10.29121/shodhkosh.v5.i1.2024.2139
Qi M., Yang X. (2009), Loss given default of high loan-to-value residential mortgages, “Journal of Banking and Finance”, vol. 33(5), pp. 788–799.
Google Scholar
DOI: https://doi.org/10.1016/j.jbankfin.2008.09.010
Russo M.V., Harrison N.S. (2005), Organizational Design and Environmental Performance: Clues from the Electronics Industry, “The Academy of Management Journal”, vol. 48(4), pp. 582–593.
Google Scholar
DOI: https://doi.org/10.5465/amj.2005.17843939
Safiullah M., Phan D.H.B., Kabir M.N. (2024), Green innovation and corporate default risk, “Journal of International Financial Markets Institutions and Money”, vol. 95, 102041.
Google Scholar
DOI: https://doi.org/10.1016/j.intfin.2024.102041
Schiederig T., Tietze F., Herstatt C. (2012), Green innovation in technology and innovation management – an exploratory literature review, “R and D Management”, vol. 42(2), pp. 180–192.
Google Scholar
DOI: https://doi.org/10.1111/j.1467-9310.2011.00672.x
Schmidt-Traub G., Kroll C., Teksoz K., Durand-Delacre D., Sachs J.D. (2017), National baselines for the Sustainable Development Goals assessed in the SDG Index and Dashboards, “Nature Geoscience”, vol. 10(8), pp. 547–555.
Google Scholar
DOI: https://doi.org/10.1038/ngeo2985
Sia Partners (2021), Mobile Banking in the World, https://www.sia-partners.com/en/insights/publications/mobile-banking-world [accessed: 1.11.2024].
Google Scholar
Taha R.T., Abed M.Q., Alamro L., Muhsin A.I. (2024), Statistical methods for analyzing economic impacts of climate change, “Journal of Ecohumanism”, vol. 3(5), pp. 385–405.
Google Scholar
DOI: https://doi.org/10.62754/joe.v3i5.3913
U.S. Commodity Futures Trading Commission (2020), Managing Climate Risk in the U.S. Financial System, https://www.cftc.gov/sites/default/files/2020-09/9-9-20%20Report%20of%20the%20Subcommittee%20on%20Climate-Related%20Market%20Risk%20-%20Managing%20Climate%20Risk%20in%20the%20U.S.%20Financial%20System%20for%20posting.pdf [accessed: 1.11.2024].
Google Scholar
United Nations (2015), “Paris agreement”, https://unfccc.int/sites/default/files/english_paris_agreement.pdf [accessed: 1.11.2024].
Google Scholar
Yang F., Masron T.A. (2024), Role of financial inclusion and digital transformation on bank credit risk, “Journal of International Financial Markets Institutions and Money”, vol. 91, 101934.
Google Scholar
DOI: https://doi.org/10.1016/j.intfin.2023.101934
Yao X., Crook J., Andreeva G. (2017), Enhancing two-stage modelling methodology for loss given default with support vector machines, “European Journal of Operational Research”, vol. 263(2), pp. 679–689.
Google Scholar
DOI: https://doi.org/10.1016/j.ejor.2017.05.017
Ye J., Xiao C., Esteves R.M., Rong C. (2015), Time Series Similarity Evaluation Based on Spearman’s Correlation Coefficients and Distance Measures, [in:] W. Qiang, X. Zheng, C.-H. Hsu (eds.), Cloud Computing and Big Data. CloudCom-Asia 2015, “Lecture Notes in Computer Science”, vol. 9106, Springer, Cham, pp. 319–331.
Google Scholar
DOI: https://doi.org/10.1007/978-3-319-28430-9_24
Zinczuk B., Bolibok P., Kasprzak-Czelej A.B. (2023), Wybrane kierunki zmian modeli biznesu na tle wyzwań współczesnej gospodarki, Uniwersytet Marii Curie-Skłodowskiej w Lublinie, Lublin.
Google Scholar