{"title":"斯图尔特·m·特恩布尔","authors":"Stuart M. Turnbull","doi":"10.21314/jor.2023.007","DOIUrl":null,"url":null,"abstract":"With climate change, physical and transition climate risks are increasing and affecting the credit risk characteristics of individual obligors and portfolios of credit obligations, such as credit cards, mortgages and loans. To accommodate the effects of physical climate risks, we first estimate the frequency of extreme weather events for different US states by using state-specific meteorological data. Using these estimates, the probability of default is calculated for an obligor in a particular state. For a pair of obligors, a closed-form expression (up to a summation) is derived for the probability of default of two companies. A recent Bank of England conference addressed the importance of scenario analysis. This paper shows how to incorporate the effects of physical and transition risks using a multiperiod scenario analysis. This facilitates the estimation of different risk measures. Physical and transition risks can significantly increase the probability of default, value-at-risk and expected shortfall. The magnitude of these changes depends on the nature of the different risk parameters and the initial creditworthiness of a company.","PeriodicalId":46697,"journal":{"name":"Journal of Risk","volume":"18 1","pages":"0"},"PeriodicalIF":0.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stuart M. Turnbull\",\"authors\":\"Stuart M. Turnbull\",\"doi\":\"10.21314/jor.2023.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With climate change, physical and transition climate risks are increasing and affecting the credit risk characteristics of individual obligors and portfolios of credit obligations, such as credit cards, mortgages and loans. To accommodate the effects of physical climate risks, we first estimate the frequency of extreme weather events for different US states by using state-specific meteorological data. Using these estimates, the probability of default is calculated for an obligor in a particular state. For a pair of obligors, a closed-form expression (up to a summation) is derived for the probability of default of two companies. A recent Bank of England conference addressed the importance of scenario analysis. This paper shows how to incorporate the effects of physical and transition risks using a multiperiod scenario analysis. This facilitates the estimation of different risk measures. Physical and transition risks can significantly increase the probability of default, value-at-risk and expected shortfall. The magnitude of these changes depends on the nature of the different risk parameters and the initial creditworthiness of a company.\",\"PeriodicalId\":46697,\"journal\":{\"name\":\"Journal of Risk\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Risk\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21314/jor.2023.007\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Risk","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21314/jor.2023.007","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
摘要
随着气候变化,物理和转型气候风险正在增加,并影响个人债务人和信贷债务组合(如信用卡、抵押贷款和贷款)的信用风险特征。为了适应自然气候风险的影响,我们首先利用各州特定的气象数据估计了美国不同州极端天气事件的频率。使用这些估计值,计算特定状态下债务人的违约概率。对于一对债务人,导出了两个公司违约概率的封闭表达式(直至求和)。英国央行(Bank of England)最近的一次会议强调了情景分析的重要性。本文展示了如何使用多时期情景分析来合并物理风险和过渡风险的影响。这便于对不同的风险度量进行估计。实物风险和过渡风险可以显著增加违约、风险价值和预期不足的可能性。这些变化的大小取决于不同风险参数的性质和公司的初始信誉。
With climate change, physical and transition climate risks are increasing and affecting the credit risk characteristics of individual obligors and portfolios of credit obligations, such as credit cards, mortgages and loans. To accommodate the effects of physical climate risks, we first estimate the frequency of extreme weather events for different US states by using state-specific meteorological data. Using these estimates, the probability of default is calculated for an obligor in a particular state. For a pair of obligors, a closed-form expression (up to a summation) is derived for the probability of default of two companies. A recent Bank of England conference addressed the importance of scenario analysis. This paper shows how to incorporate the effects of physical and transition risks using a multiperiod scenario analysis. This facilitates the estimation of different risk measures. Physical and transition risks can significantly increase the probability of default, value-at-risk and expected shortfall. The magnitude of these changes depends on the nature of the different risk parameters and the initial creditworthiness of a company.
期刊介绍:
This international peer-reviewed journal publishes a broad range of original research papers which aim to further develop understanding of financial risk management. As the only publication devoted exclusively to theoretical and empirical studies in financial risk management, The Journal of Risk promotes far-reaching research on the latest innovations in this field, with particular focus on the measurement, management and analysis of financial risk. The Journal of Risk is particularly interested in papers on the following topics: Risk management regulations and their implications, Risk capital allocation and risk budgeting, Efficient evaluation of risk measures under increasingly complex and realistic model assumptions, Impact of risk measurement on portfolio allocation, Theoretical development of alternative risk measures, Hedging (linear and non-linear) under alternative risk measures, Financial market model risk, Estimation of volatility and unanticipated jumps, Capital allocation.