Author information:
Bálint Várgedő: Magyar Nemzeti Bank, Analyst; Corvinus University of Budapest, PhD student. E-mail: vargedob@mnb.hu
Abstract:
This study presents the methodology and results of a transition risk climate stress test carried out for credit institutions, focusing on the methodology of a sectoral module developed for the analysis. Using a sectoral network derived from an input-output table, the sectoral module distributes a price shock between activities with higher greenhouse gas emission intensity and the related sectors. Results suggest that the sectors with the largest exposure to transition are electricity and gas supply. The probability of default for these two sectors may increase by 1.5 to 2.3 percentage points compared to the baseline. The transition risks for various sectors are highly heterogeneous. Based on Monte Carlo simulations, the extent of the transition risks for Hungarian banks also varies significantly. The advantage of this methodology lies in its ability to estimate the magnitude of macroeconomic shocks and the transition differences across sectors, and its ease of integration into stress testing processes.
Cite as (APA):
Várgedő, B. (2022). Climate Stress Test: The Impact of Carbon Price Shock on the Probability of Default in the Hungarian Banking System. Financial and Economic Review, 21(4), 57–82. https://doi.org/10.33893/FER.21.4.57
Column:
Study
Journal of Economic Literature (JEL) codes:
G21, G32, Q54
Keywords:
climate stress test, transition risk
References:
Acemoglu, D. – Aghion, P. – Bursztyn, L. – Hemous, D. (2012a): The Environment and Directed Technical Change. American Economic Review, 102(1): 131–166. https://doi.org/10.1257/aer.102.1.131
Acemoglu, D. – Carvalho, V. M. – Ozdaglar, A. – Tahbaz-Salehi, A. (2012b): The Network Origins of Aggregate Fluctuations, Econometrica, 80(5): 1977–2016. https://doi.org/10.3982/ECTA9623
ACPR-BdF (2021): A first assessment of financial risks stemming from climate change: The main results of the 2020 climate pilot exercise. Analyses et synthèses, No 122. Autorité de Contrôle Prudentiel et de Résolution, Banque de France, Paris. https://acpr.banque-france.fr/sites/default/files/medias/documents/20210602_as_exercice_pilote_english.pdf
Alogoskoufis, S. – Dunz, N. – Emambakhsh, T. – Hennig, T. – Kaijser, M. – Kouratzoglou, C. – Muñoz, M.A. – Parisi, L. – Salleo, C. (2021): ECB economy-wide climate stress test. ECB Occasional Paper No 281. https://www.ecb.europa.eu/pub/pdf/scpops/ecb.op281~05a7735b1c.en.pdf
Anufriev, M. – Panchenko, V. (2015): Connecting the dots: Econometric methods for uncovering networks with an application to the Australian financial institutions. Journal of Banking and Finance, 61(S2): 214–255. https://doi.org/10.1016/j.jbankfin.2015.08.034
Baudino, P. – Svoronos, J.-P. (2021): Stress-testing banks for climate change – a comparison of practices, Financial Stability Institute Insights on policy implementation, no 34, July. https://www.bis.org/fsi/publ/insights34.pdf
BoE (2019): Bank of England: The 2021 biennial exploratory scenario on the financial risks from climate change. Discussion paper, December. https://www.bankofengland.co.uk/paper/2019/biennial-exploratory-scenario-climate-change-discussion-paper
Bokor, L. (2021): Bank Carbon Risk Index – A simple indicator of climate-related transition risks of lending activity, MNB Occasional Papers 141. https://www.mnb.hu/letoltes/mnb-op-141-final.pdf
Bokor, L. (2022): Climate stress test of the Hungarian banking system, Forthcoming, Magyar Nemzeti Bank.
Boros, E. (2020): Risks of Climate Change and Credit Institution Stress Tests. Financial and Economic Review, 19 (4): 107–131. https://doi.org/10.33893/FER.19.4.107131
Borsos, A. – Stancsics, M. (2020): Unfolding the hidden structure of the Hungarian multi-layer firm network. MNB Occasional Papers 139. https://www.mnb.hu/letoltes/mnb-op-139-final.pdf
Eurostat (2022a): Energy imports dependency (nrg_ind_id). https://ec.europa.eu/eurostat/databrowser/view/NRG_IND_ID__custom_2070352/bookmark/table?lang=en&%3Bamp%3BbookmarkId=10efc154-dea6-494c-9867-a3f877a4703c. Downloaded: 24 October 2022.
Eurostat (2022b): Air emissions intensities by NACE Rev. 2 activity (env_ac_aeint_r2). https://ec.europa.eu/eurostat/databrowser/view/env_ac_ainah_r2/default/table?lang=en. Downloaded: 24 October 2022.
Fazekas, D. – Goldman, M. – Kőműves, Zs. – Pavelka, A. (2021): Climate impact assessment: Impacts of climate change scenarios on the Hungarian economy. Cambridge Econometrics, Magyar Nemzeti Bank. https://www.camecon.com/wp-content/uploads/2021/05/MNB_CE_Final_Report_May-2021-2.pdf
Guth, M. – Hesse, J. – Königswieser, Cs. – Krenn, G. – Lipp, C. – Neudorfer, B. – Schneider, M. – Weiss, P. (2021): OeNB climate risk stress test – modeling a carbon price shock for the Austrian banking sector. In: Financial Stability Report, Oesterreichische Nationalbank, Issue 42, November: 27–45. https://ideas.repec.org/a/onb/oenbfs/y2021i42b1.html
HCSO (2005): Az ágazati kapcsolatok mérlegének matematikai feldolgozása (Mathematical analysis of the balance of sectoral relations), 2000. KSH, Budapest. https://www.ksh.hu/docs/hun/xftp/idoszaki/pdf/akmmf2000.pdf. Downloaded: 4 November 2022.
Horvath, M. (2000): Sectoral shocks and aggregate fluctuations. Journal of Monetary Economics, 45(1): 69–106. https://doi.org/10.1016/S0304-3932(99)00044-6
Horváth, G. (2021): Corporate Credit Risk Modelling in the Supervisory Stress Test of the Magyar Nemzeti Bank. Financial and Economic Review, 20(1): 43–73. https://doi.org/10.33893/FER.20.1.4373
IMF (2022): Near-Term Macroeconomic Impact of Decarbonization Policies. In: World Economic Outlook: Countering the Cost-of-Living Crisis, Section 3. https://www.imf.org/-/media/Files/Publications/WEO/2022/October/English/ch3annex.ashx
Königswieser, Cs. – Neudorfer, B. – Schneider, M. (2021): Supplement to “OeNB climate risk stress test – modeling a carbon price shock for the Austrian banking sector”. In: Financial Stability Report, Oesterreichische Nationalbank, Issue 42, November: 1–9. https://ideas.repec.org/a/onb/oenbfs/y2021i42b2.html
Nordhaus, W.D. (1993): Rolling the ‘DICE’: an optimal transition path for controlling greenhouse gases. Resource and Energy Economics, 15(1): 27–50. https://doi.org/10.1016/0928-7655(93)90017-O
Ritter, R. (2022): Banking Sector Exposures to Climate Risks - Overview of Transition Risks in the Hungarian Corporate Loan Portfolio. Financial and Economic Review, 21(1): 32–55. https://doi.org/10.33893/FER.21.1.32
Soós, G.D. – Kelemen, J. – Horváth, M. (2020): Polaris, új eszköz a jegybanki előrejelzésekhez (Polaris, the new tool for central bank forecasting in Hungary). MNB Working Papers 1. https://www.mnb.hu/letoltes/mnb-wp-2020-1-final.pdf
Stern, N. (2007): The Economics of Climate Change: The Stern Review. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511817434
Stern, N. – Stiglitz, J.E. – Taylor, C. (2022): The economics of immense risk, urgent action and radical change: towards new approaches to the economics of climate change. Journal of Economic Methodology, 29(3): 181–216. https://doi.org/10.1080/1350178X.2022.2040740
TCFD (2017): The Use of Scenario Analysis in Disclosure of Climate-Related Risks and Opportunities. Technical Supplement. https://assets.bbhub.io/company/sites/60/2021/03/FINAL-TCFD-Technical-Supplement-062917.pdf. Downloaded: 21 July 2022.
Vermeulen, R. – Schets, E. – Lohuis, M. – Kölbl, B. – Jansen, D.-J. – Heeringa, W. (2018): An energy transition risk stress test for the financial system of the Netherlands. DNB Occasional Studies 16-07, De Nederlandsche Bank. https://www.dnb.nl/media/pdnpdalc/201810_nr-_7_-2018-_an_energy_transition_risk_stress_test_for_the_financial_system_of_the_netherlands.pdf