The transmission of targeted monetary policy to bank credit supply
Matjaž Volk
The Quarterly Review of Economics and Finance, 2024, vol. 94, issue C, 104-112
Abstract:
In this paper I estimate the impact of Targeted Longer-Term Refinancing Operations (TLTRO) on the evolution of lending amounts and rates in Slovenia, with a specific focus on distinct effects of TLTRO-I and II. I use a combination of difference-in-differences and instrumental variable approach, which together with detail credit register data enable the identification of supply side effects of the TLTRO policy. The results show a supporting impact of targeted operations on bank loan supply, resulting in higher credit growth and lower rates. I find that the TLTRO-I was supportive through both the quantity and price channels, whereas the TLTRO-II only shows a significant impact on the credit amount. Further, I find the transmission of TLTRO-I was higher through better capitalized banks, whereas both policy waves supported lending to safe and stable firms with higher credit ratings.
Keywords: Unconventional monetary policy; Central bank liquidity; Policy evaluation (search for similar items in EconPapers)
JEL-codes: E52 E58 G21 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1062976924000097
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:quaeco:v:94:y:2024:i:c:p:104-112
DOI: 10.1016/j.qref.2024.01.003
Access Statistics for this article
The Quarterly Review of Economics and Finance is currently edited by R. J. Arnould and J. E. Finnerty
More articles in The Quarterly Review of Economics and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().