Professor Zilong Liu

Research 

HIGHLIGHT RESEACH PROJECT IN FINTECH FIRM

Project Name Project Description Contributor 
Do Non-Banks Bring Lower Prices for Borrowers in the Government-Sponsored Enterprise (GSE) Mortgage Market? The neoclassical economic theories predict that increased competition can lead to lower prices; however, this prediction has yet to find empirical support in the consumer lending market.  We find that, given the same ex post level of credit and prepayment risks, large banks charge the highest interest rates on GSE mortgages, fintech firms charge the lowest interest rates, and the interest rates charged by small banks and non-fintech non-banks fall in the middle with marginal differences between them.  With the entrance of non-banks, the GSE mortgage interest rates decrease by roughly 7 basis points from 2010 to 2019.

Xinlei Zhao, Zilong Liu, Hongyan Liang

Technological Innovation and Risk Assessment: A Study on Fintech Firms in the Conforming Mortgage Market In this study, we assess the ability of fintech firms to predict borrower delinquency risks in the conforming mortgage market, comparing their performance with that of traditional banks and non-fintech shadow banks. We discover that fintech-originated loans demonstrate a lower accuracy in foretelling delinquencies, evidenced by their reduced Area Under the Curve (AUC) scores. Unlike the trends observed in the unsecured personal loan sector, we observe that some fintech lenders in the conforming mortgage realm do not employ superior risk assessment models. This could be attributed to their strategy of selling the originated loans to agencies, indicating a deliberate choice not to focus on enhancing risk evaluation models for gaining market share.

Zilong Liu Hongyan Liang

HIGHLIGHT RESEACH PROJECT IN FAIR LENDING and ALGORITHM BIAS

HIGHLIGHT RESEACH PROJECT IN CREDIT RISK MODELLING 

Publication (Peer reviewed academic journals)

Conferences Proceeding