FinTech mortgage lenders solving or exploiting a friction? evidence on risk layering and prepayment risk of conforming loans
Author(s)
Wang, Yupeng(Scientist in business management)Massachusetts Institute of Technology.
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Alternative title
Fin Tech mortgage lenders solving or exploiting a friction? evidence on risk layering and prepayment risk of conforming loans
Evidence on risk layering and prepayment risk of conforming loans
Other Contributors
Sloan School of Management.
Advisor
Antoinette Schoar.
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Fintech mortgage lenders have become an increasingly important source of mortgage credit in the US. Using loan-level data on mortgages sold to Fannie Mae and Freddie Mac (GSEs), I find that compared to traditional lenders, Fintech lenders are more likely to address credit demand from low credit score borrowers. However, they may be able to exploit two frictions in the GSEs' pricing and securitization setup. First, Fintech loans tend to have more risk layers conditional on paying the same guarantee fee, which are charged 15 basis points less of interest rate but translate to 0.5% higher delinquency rate ex-post. Second, Fintech loans get prepaid more often (11%). They get cross-subsidies in the to-be-announced mortgage-backed-securities market since these loans are pooled together with low prepayment risk loans in the same contract.
Description
Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, May, 2020 Cataloged from the official PDF of thesis. Includes bibliographical references (pages 55-56).
Date issued
2020Department
Sloan School of ManagementPublisher
Massachusetts Institute of Technology
Keywords
Sloan School of Management.