Conference Agenda

Please note that all times are shown in the time zone of the conference. The current conference time is: 10th May 2025, 12:48:45am CEST

 
 
Session Overview
Session
FI 04: Banks and fintech
Time:
Thursday, 22/Aug/2024:
11:00am - 12:30pm

Session Chair: Florian Heider, LIF-SAFE & Goethe University Frankfurt
Location: Reduta | Choir Room (via courtyard, floor 2)


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Presentations
ID: 158

Open Banking and Customer Data Sharing: Implications for FinTech Borrowers

Rachel J. Nam1,2

1Goethe University Frankfurt; 2Leibniz Institute for Financial Research SAFE

Discussant: Wilko Bolt (VU Amsterdam)

Open banking enables loan applicants to easily and securely share payment data with prospective lenders. In theory, this could broaden credit access by reducing information asymmetry but could also lead to price discrimination that exploits individuals’ preferences and behavioral traits. Using loan application data from a leading German FinTech lender in consumer credit, I document that observably riskier applicants (with lower credit scores) are more inclined to disclose data. Data sharing improves loan approvals, reduces interest rates, and is associated with lower ex post defaults. These findings suggest that data sharing via open banking can reduce adverse selection.

EFA2024_158_FI 04_Open Banking and Customer Data Sharing.pdf


ID: 927

Borrowing from a Bigtech Platform

Jian Li1, Stefano Pegoraro2

1Columbia Business School, United States of America; 2University of Notre Dame, United States of America

Discussant: Basil Williams (New York University)

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.

EFA2024_927_FI 04_Borrowing from a Bigtech Platform.pdf


ID: 2044

From Competitors to Partners: Banks’ Venture Investments in Fintech

Manju Puri1, Yiming Qian2, Xiang Zheng2

1Duke University; 2University of Connecticut, United States of America

Discussant: Sergio Vicente (University of Luxembourg)

We hypothesize and find evidence that banks use venture investments in fintech startups as a strategic approach to navigate fintech competition. We first document that banks’ venture investments have increasingly focused on fintech firms. We find that banks facing greater fintech competition are more likely to make venture investments in fintech startups. Banks target fintech firms that exhibit higher levels of asset complementarities with their own business. Finally, our instrumental variable analyses show that financial investments result in increased probabilities of operational collaborations and knowledge transfer between the investing bank and the fintech investee.

EFA2024_2044_FI 04_From Competitors to Partners.pdf


 
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