Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
Track M1-1: FinTech
Time:
Monday, 20/May/2024:
8:30am - 9:15am

Session Chair: Jillian Grennan, UC-Berkeley
Discussant: Mina Lee, Federal Reserve Board
Location: Room 610


Presentations

Borrowing from a Bigtech Platform

Jian Jane Li1, Stefano Pegoraro2

1Columbia University; 2University of Notre Dame, Mendoza College of Business

We model competition between banks and a bigtech platform that lend to a merchant with private information and subject to moral hazard. By controlling access to a valuable marketplace for the merchant, the platform enforces partial loan repayments, thus alleviating financing frictions, reducing the risk of strategic default, and contributing to welfare positively. Credit markets become partially segmented, with the platform targeting merchants of low and medium perceived credit quality. However, conditional on observables, the platform lends to better borrowers than banks because bad borrowers self-select into bank loans to avoid the platform's enforcement, causing negative welfare effects in equilibrium.


Li-Borrowing from a Bigtech Platform-859.pdf