Borrowing from a Bigtech Platform

Jian Li & Stefano Pegoraro

The Review of Financial Studies2026https://doi.org/10.1093/rfs/hhag033article
FT50UTD24AJG 4*ABDC A*
Weight
0.50

Abstract

We model credit competition between a bigtech platform and a bank lending to a merchant under limited commitment and asymmetric information about the merchant’s incentives to default. The platform leverages its control over a marketplace to enforce partial loan repayments, enabling it to serve certain unbanked borrowers. When directly competing with the bank, the platform gains an endogenous screening advantage as borrowers with stronger incentives to default self-select into bank loans to avoid the platform’s enforcement. Whereas the platform improves financial inclusion for unbanked borrowers, social welfare may decline because the bank tightens credit in response to adverse screening.(JELG21, G23, C72, D82)

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1093/rfs/hhag033

Or copy a formatted citation

@article{jian2026,
  title        = {{Borrowing from a Bigtech Platform}},
  author       = {Jian Li & Stefano Pegoraro},
  journal      = {The Review of Financial Studies},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1093/rfs/hhag033},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Borrowing from a Bigtech Platform

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.