Monetary Policy Transmission to Lending Rates: Evidence from Brazil
Daniel Leigh and
Rui Xu
No 2025/152, IMF Working Papers from International Monetary Fund
Abstract:
This paper estimates the strength of monetary policy transmission to bank lending rates in Brazil. We identify monetary policy shocks using forecast errors from Brazi’s daily Focus survey of professional forecasters. We then estimate the pass-through to lending rates based on an instrumental variable application of local projections and find an aggregate pass-through of 70 percent after four months, reflecting full passthrough to market-based lending rates and 20 percent to government-directed credit interest rates. Analysis using bank-level data reveals varying degrees of pass-through across credit types, from 40 percent for payrollbacked loans to 80 percent for working capital loans, and stronger pass-through for larger banks. Estimated pass-through has increased since 2020 due to more responsive corporate loans
Keywords: Brazil; interest rate pass-through; bank lending rates; credit types; post-pandemic; monetary policy transmission; using forecast error; pass-through estimate; rate data; Central bank policy rate; Credit; Loans; Bank credit; Consumer loans; Europe (search for similar items in EconPapers)
Pages: 22
Date: 2025-07-25
New Economics Papers: this item is included in nep-mon
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.imf.org/external/pubs/cat/longres.aspx?sk=568783 (application/pdf)
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:imf:imfwpa:2025/152
Ordering information: This working paper can be ordered from
http://www.imf.org/external/pubs/pubs/ord_info.htm
Access Statistics for this paper
More papers in IMF Working Papers from International Monetary Fund International Monetary Fund, Washington, DC USA. Contact information at EDIRC.
Bibliographic data for series maintained by Akshay Modi ().