Do Fintech Lenders Align Pricing with Risk? Evidence from a Model-Based Assessment of Conforming Mortgages
This paper assesses whether fintech mortgage lenders align pricing with borrower risk using conforming 30-year mortgages (2012–2020). We estimate default probabilities using machine learning (logit, random forest, gradient boosting, LightGBM, XGBoost), finding that non-fintech lenders achieve the hi...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | FinTech |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2674-1032/4/2/23 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849432637812244480 |
|---|---|
| author | Zilong Liu Hongyan Liang |
| author_facet | Zilong Liu Hongyan Liang |
| author_sort | Zilong Liu |
| collection | DOAJ |
| description | This paper assesses whether fintech mortgage lenders align pricing with borrower risk using conforming 30-year mortgages (2012–2020). We estimate default probabilities using machine learning (logit, random forest, gradient boosting, LightGBM, XGBoost), finding that non-fintech lenders achieve the highest predictive accuracy (AUC = 0.860), followed closely by banks (0.857), with fintech lenders trailing (0.852). In pricing analysis, banks adjust the origination rates most sharply with borrower risk (7.20 basis points per percentage-point increase in default probability) compared to fintech (4.18 bp) and non-fintech lenders (5.43 bp). Fintechs underprice 32% of high-risk loans, highlighting limited incentive alignment under GSE securitization structures. Expanding the allowable alternative data and modest risk-retention policies could enhance fintechs’ analytical effectiveness in mortgage markets. |
| format | Article |
| id | doaj-art-50b4f990cd3c4e63bca30d863532822f |
| institution | Kabale University |
| issn | 2674-1032 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | FinTech |
| spelling | doaj-art-50b4f990cd3c4e63bca30d863532822f2025-08-20T03:27:18ZengMDPI AGFinTech2674-10322025-06-01422310.3390/fintech4020023Do Fintech Lenders Align Pricing with Risk? Evidence from a Model-Based Assessment of Conforming MortgagesZilong Liu0Hongyan Liang1Gies College of Business, University of Illinois Urbana-Champaign, Urbana, IL 61801, USAGies College of Business, University of Illinois Urbana-Champaign, Urbana, IL 61801, USAThis paper assesses whether fintech mortgage lenders align pricing with borrower risk using conforming 30-year mortgages (2012–2020). We estimate default probabilities using machine learning (logit, random forest, gradient boosting, LightGBM, XGBoost), finding that non-fintech lenders achieve the highest predictive accuracy (AUC = 0.860), followed closely by banks (0.857), with fintech lenders trailing (0.852). In pricing analysis, banks adjust the origination rates most sharply with borrower risk (7.20 basis points per percentage-point increase in default probability) compared to fintech (4.18 bp) and non-fintech lenders (5.43 bp). Fintechs underprice 32% of high-risk loans, highlighting limited incentive alignment under GSE securitization structures. Expanding the allowable alternative data and modest risk-retention policies could enhance fintechs’ analytical effectiveness in mortgage markets.https://www.mdpi.com/2674-1032/4/2/23fintech mortgage lendingrisk-based pricingdefault predictionmachine learningcredit risk modeling |
| spellingShingle | Zilong Liu Hongyan Liang Do Fintech Lenders Align Pricing with Risk? Evidence from a Model-Based Assessment of Conforming Mortgages FinTech fintech mortgage lending risk-based pricing default prediction machine learning credit risk modeling |
| title | Do Fintech Lenders Align Pricing with Risk? Evidence from a Model-Based Assessment of Conforming Mortgages |
| title_full | Do Fintech Lenders Align Pricing with Risk? Evidence from a Model-Based Assessment of Conforming Mortgages |
| title_fullStr | Do Fintech Lenders Align Pricing with Risk? Evidence from a Model-Based Assessment of Conforming Mortgages |
| title_full_unstemmed | Do Fintech Lenders Align Pricing with Risk? Evidence from a Model-Based Assessment of Conforming Mortgages |
| title_short | Do Fintech Lenders Align Pricing with Risk? Evidence from a Model-Based Assessment of Conforming Mortgages |
| title_sort | do fintech lenders align pricing with risk evidence from a model based assessment of conforming mortgages |
| topic | fintech mortgage lending risk-based pricing default prediction machine learning credit risk modeling |
| url | https://www.mdpi.com/2674-1032/4/2/23 |
| work_keys_str_mv | AT zilongliu dofintechlendersalignpricingwithriskevidencefromamodelbasedassessmentofconformingmortgages AT hongyanliang dofintechlendersalignpricingwithriskevidencefromamodelbasedassessmentofconformingmortgages |