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).

Please note that all times are shown in the time zone of the conference. The current conference time is: 21st Apr 2025, 01:07:46pm CEST

 
 
Session Overview
Session
1A: Connecting data
Time:
Monday, 12/May/2025:
2:00pm - 3:30pm

Session Chair: Thierry Foucault

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Presentations

Data as a Networked Asset

Bo Bian1, Qiushi Huang2, Ye Li3, Huan Tang4

1University of British Columbia, Sauder School of Business; 2Shanghai Advanced Institute of Finance; 3University of Washington, Foster School of Business; 4University of Pennsylvania, the Wharton School

Discussant: Naveen Gondhi (INSEAD)

Data is non-rival: a firm's data can be used simultaneously by others, and information about its customers benefits other firms even across industries. How is data being shared? Using granular information on mobile app usage, functionalities, and connections with data analytics platforms, we uncover a network of inter-firm data flows. Data sharing generates comovements in operational, financial, and stock-market performances among data-connected firms, beyond what traditional economic linkages can explain, and induces strategic complementarity in firms' product-design choices. Apple’s App Tracking Transparency policy, which restricts inter-firm data flows, weakens these patterns, providing causal evidence of the role of data sharing. To explain these findings, we develop a dynamic network model of data economy, where firm growth becomes interconnected through data sharing. The model introduces a network-augmented Gordon growth formula to value data-generated cash flows, capturing direct and indirect network externalities over multiple time horizons. Our metrics of valuation centrality identify systemically important firms that disproportionately influence the data economy due to their pivotal positions within the data-sharing network.



Data as Collateral: Open Banking for Small Business Lending

Tong Yu

Imperial College London

Discussant: Rachel Nam (USI Lugano/Swiss Finance Institute)

Open banking enables small businesses to share their bank financial data with potential lenders. I examine the effect of open banking on collateralization in small business lending. For identification, I exploit institutional features of the UK’s open banking policy that creates a discontinuity in firms’ eligibility to share data. Using a novel loan-level dataset covering the entire UK secured business loan market, I document that open banking eases the pledge of assets like accounts receivable and inventory. Firms eligible to share data are more likely to pledge such assets as collateral, thereby improving their access to credit. These effects are more pronounced for firms facing greater information asymmetry and those with greater information available to share. These findings highlight the role of open banking in reducing collateral constraints by mitigating information asymmetry.



 
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