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Review of Financial Studies Vol. 36 No. 2 2023

Counterparty Risk: Implications for Network Linkages and Asset Prices

Fotis Grigoris1; Yunzhi Hu2; Gill Segal2

1 Kelley School of Business, Indiana University , USA · 2 Kenan-Flagler Business School, University of North Carolina at Chapel Hill , USA

Abstract

We study the relation between trade credit, asset prices, and production-network linkages. Empirically, firms extending more trade credit earn 7.6% p.a. lower risk premiums and maintain longer relationships with customers. Using a production-based model, we quantitatively explain these novel facts. Trade credit reduces the departure probability of high-quality customers, thereby reducing firms’ exposures to systematic costs incurred in finding new customers. The mechanism predicts that the aggregate amount of trade credit proxies for customer-search costs and that suppliers with shorter-duration links to customers command higher expected returns. We confirm these and other novel predictions in the data.

DOI
10.1093/rfs/hhac044
Volume
36
Issue
2
Pages
814-858
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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