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Journal of Financial Economics Vol. 170 2025

A quantitative analysis of bank lending relationships

Kyle Dempsey1; Miguel Faria-e-Castro2

1 The Ohio State University · 2 Federal Reserve Bank of St. Louis

Abstract

We study the aggregate consequences of dynamic lending relationships in a model of heterogeneous banks facing financial frictions. We estimate the model’s loan demand system on administrative loan-level data: the market power implied by the estimated strength and persistence of relationships yields a long run reduction in credit of 5.9%. Relationships amplify the negative real effects of credit supply shocks, but mute those of negative credit demand shocks. In a financial crisis which destroys 25% of bank net worth, for example, loan volume drops more than twice as much in our baseline model than in a competitive analog with no relationships, but banks recapitalize faster.

DOI
10.1016/j.jfineco.2025.104083
Volume
170
Pages
104083
Language
en
Sources
openalex crossref bibtex:phds-export.bib

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