证券化
逆向选择
贷款
选择(遗传算法)
精算学
考试(生物学)
极限(数学)
业务
经济
计算机科学
财务
数学
人工智能
生物
生态学
数学分析
作者
Michael LaCour‐Little,Andrey D. Pavlov,Susan M. Wächter
摘要
Abstract We identify two issues in the work of Ouazad and Kahn (2022). Correcting either reverses the original result. The two changes are to use the correct FHFA conforming loan limits for each county and year and to compare the individual loan amount to that limit correctly. There is no evidence that lenders transfer climate risk by altering loan origination and securitization behavior. None of our results calls into question the value and importance of the O&K model as a test for adverse selection. The question addressed and the setup of the test are important and should be replicated over time.
科研通智能强力驱动
Strongly Powered by AbleSci AI