Stefano Di Virgilio , Ivan Faiella , Alessandro Mistretta , Simone Narizzano
{"title":"评估信贷风险对气候和能源冲击的敏感性:根据欧洲中央银行气候议程制定共同最低标准","authors":"Stefano Di Virgilio , Ivan Faiella , Alessandro Mistretta , Simone Narizzano","doi":"10.1016/j.jpolmod.2024.05.001","DOIUrl":null,"url":null,"abstract":"<div><p>A disordered energy transition might impact borrowers’ ability to repay and service debt; this calls for methods for integrating climate into credit risk modelling. This integration is required not only for risk management, but also for adjusting credit ratings for collateral pledged in Eurosystem monetary policy operations. This study introduces an innovative methodology to evaluate Italian non-financial firms' exposure to climate policy risks, gauging the impact of climate policies on firm-level default probability (PD). By simulating a shock to energy expenditure originating from different levels of a carbon tax, we analyze the potential impact on firms’ PD. Our method offers a comprehensive understanding of the channels through which energy shocks propagate and their implications on firms’ vulnerability. Our findings show that the impact of carbon taxation on credit risk would be contained, raising the average PD by a range of 0.6–4.1 basis points according to the different levels of carbon tax. The effect is slightly larger for the Agriculture and Services sector, while there is no clear pattern relating to firm size.</p></div>","PeriodicalId":48015,"journal":{"name":"Journal of Policy Modeling","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing credit risk sensitivity to climate and energy shocks: Towards a common minimum standards in line with the ECB climate agenda\",\"authors\":\"Stefano Di Virgilio , Ivan Faiella , Alessandro Mistretta , Simone Narizzano\",\"doi\":\"10.1016/j.jpolmod.2024.05.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A disordered energy transition might impact borrowers’ ability to repay and service debt; this calls for methods for integrating climate into credit risk modelling. This integration is required not only for risk management, but also for adjusting credit ratings for collateral pledged in Eurosystem monetary policy operations. This study introduces an innovative methodology to evaluate Italian non-financial firms' exposure to climate policy risks, gauging the impact of climate policies on firm-level default probability (PD). By simulating a shock to energy expenditure originating from different levels of a carbon tax, we analyze the potential impact on firms’ PD. Our method offers a comprehensive understanding of the channels through which energy shocks propagate and their implications on firms’ vulnerability. Our findings show that the impact of carbon taxation on credit risk would be contained, raising the average PD by a range of 0.6–4.1 basis points according to the different levels of carbon tax. The effect is slightly larger for the Agriculture and Services sector, while there is no clear pattern relating to firm size.</p></div>\",\"PeriodicalId\":48015,\"journal\":{\"name\":\"Journal of Policy Modeling\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Policy Modeling\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0161893824000425\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Policy Modeling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0161893824000425","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Assessing credit risk sensitivity to climate and energy shocks: Towards a common minimum standards in line with the ECB climate agenda
A disordered energy transition might impact borrowers’ ability to repay and service debt; this calls for methods for integrating climate into credit risk modelling. This integration is required not only for risk management, but also for adjusting credit ratings for collateral pledged in Eurosystem monetary policy operations. This study introduces an innovative methodology to evaluate Italian non-financial firms' exposure to climate policy risks, gauging the impact of climate policies on firm-level default probability (PD). By simulating a shock to energy expenditure originating from different levels of a carbon tax, we analyze the potential impact on firms’ PD. Our method offers a comprehensive understanding of the channels through which energy shocks propagate and their implications on firms’ vulnerability. Our findings show that the impact of carbon taxation on credit risk would be contained, raising the average PD by a range of 0.6–4.1 basis points according to the different levels of carbon tax. The effect is slightly larger for the Agriculture and Services sector, while there is no clear pattern relating to firm size.
期刊介绍:
The Journal of Policy Modeling is published by Elsevier for the Society for Policy Modeling to provide a forum for analysis and debate concerning international policy issues. The journal addresses questions of critical import to the world community as a whole, and it focuses upon the economic, social, and political interdependencies between national and regional systems. This implies concern with international policies for the promotion of a better life for all human beings and, therefore, concentrates on improved methodological underpinnings for dealing with these problems.