抵押贷款压力定价。Covid-19的教训和信贷风险转移。

Pedro Gete, Athena Tsouderou, Susan M. Wachter
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引用次数: 2

摘要

我们手工收集了一个与美国抵押贷款相关的独特的信用风险转移(crt)数据库,以研究市场如何为自然灾害带来的违约风险定价。利用CRT对违约风险的异质性暴露,我们估计由于两次主要飓风的登陆而导致CRT价差的增加。我们校准了一个信贷供应模型,以匹配这些估计。经常遭受飓风袭击的县的市场隐含抵押贷款利率比内陆县高13%。此外,由于全球金融危机,市场暗示的抵押贷款利率将上升29%,由于covid-19危机将上升21%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pricing Mortgage Stress. Lessons from Covid-19 and the Credit Risk Transfers.
We hand-collect a unique database of Credit Risk Transfers (CRTs), linked to U.S. mortgages, to study how markets price default risk from natural disasters. Exploiting heterogeneous exposure of CRTs to default risk, we estimate the increases in CRT spreads due to the landfall of two major hurricanes. We calibrate a model of credit supply to match those estimates. Market-implied mortgage rates in counties more often hit by a hurricane are 13% higher than inland counties. Also, market-implied mortgage rates would have increased by 29% due to the Global Financial Crisis, and by 21% due to the covid-19 crisis.
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