Identifying credit supply shocks with bank-firm data: Methods and applications

Hans Degryse, Olivier De Jonghe, Sanja Jakovljević, Klaas Mulier and Glenn Schepens

Journal of Financial Intermediation, 2019, vol. 40, issue C

Abstract: Current empirical methods to identify and assess the impact of bank credit supply shocks rely strictly on multi-bank firms and ignore firms borrowing from only one bank. Yet, these single-bank firms are often the majority of firms in an economy and most prone to credit supply shocks. We propose and underpin an alternative demand control (using industry–location–size–time fixed effects) that allows identifying time-varying cross-sectional bank credit supply shocks using both single- and multi-bank firms. Using matched bank-firm credit data from Belgium, we show that firms borrowing from banks with negative credit supply shocks exhibit lower financial debt growth, asset growth, investments, and operating margin growth. Positive credit supply shocks are associated with bank risk-taking behaviour at the extensive margin. Importantly, to capture these effects it is crucial to include the single-bank firms when identifying the bank credit supply shocks.

Keywords: Credit supply identification; Bank lending; Corporate investments; Bank risk-taking (search for similar items in EconPapers)
JEL-codes: G21 G32 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (158)

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Working Paper: Identifying credit supply shocks with bank-firm data: methods and applications (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jfinin:v:40:y:2019:i:c:s1042957319300154

DOI: 10.1016/j.jfi.2019.01.004

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