Incorporating Climate Risk into Credit Risk Modeling: An Application in Housing Finance

IF 2.8
FinTech Pub Date : 2023-09-07 DOI:10.3390/fintech2030034
Alexandra Lefevre, A. Tourin
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Abstract

This paper examines the integration of climate risks into structural credit risk models. We focus on applications in housing finance and argue that mortgage defaults due to climate disasters have different statistical features than default due to household-specific reasons. We propose two models incorporating climate risk based on two separate default definitions. The first focuses on default as a response to a decrease in home value, and the second defines default as a consequence of missed mortgage payments. Using mortgage performance data during Hurricane Harvey, we conduct an empirical study whose results suggest that climate events are potentially another source of undiversifiable credit risk affecting homeowners’ ability to make contractual monthly payments. We also show that incorporating this climate-specific default process may capture additional uncertainty in default probability assessments.
将气候风险纳入信用风险模型:在住房金融中的应用
本文探讨了将气候风险纳入结构性信用风险模型的问题。我们专注于住房金融的应用,并认为由于气候灾害导致的抵押贷款违约与由于家庭特定原因导致的违约具有不同的统计特征。我们基于两个不同的默认定义提出了两个包含气候风险的模型。第一个将违约定义为对房屋价值下降的反应,第二个将违约定义为拖欠抵押贷款的后果。利用哈维飓风期间的抵押贷款表现数据,我们进行了一项实证研究,其结果表明,气候事件是影响房主按合同每月付款能力的不可分散信用风险的潜在另一个来源。我们还表明,将这种特定于气候的违约过程纳入违约概率评估可能会捕获额外的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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