We revisit the debate on the effectiveness of central bank communication on exchange rates, contrasting a skeptical view, which holds that communication neither moves exchange rates nor influences them in the desired direction, with an optimistic view that it does.
Transitioning to a sustainable economy and reducing air pollution hinge on appropriate economic incentives and financing conditions. The auto loan market offers a prime setting, as lenders’ credit terms can either discourage or incentivize the purchase of high-pollution vehicles. Using loan-level data, we examine how captive and independent banks adjust lending conditions in response to information and regulatory shocks affecting diesel vehicles.
The Market Participants Group (MPG) is a senior-level forum for financial market participants to share their views on relevant themes and narratives in financial markets with members of the Bank of England’s Monetary Policy Committee.
The Bank's Court of Directors acts as a unitary board, setting the organisation's strategy and budget and taking key decisions on resourcing and appointments. Required to meet a minimum seven times per year, it has five executive members from the Bank and up to nine non-executive members.
This paper examines the impact of natural gas market shocks on gas market dynamics, inflation expectations and realized inflation in the Euro Area using a BVAR model. Our contribution lies in a novel identification strategy that distinguishes between various types of shocks of unprecedented detail, leverages weekly rather than monthly data, and extends the analysis to both market-based headline and core inflation expectations.
Free movement of labour across borders can influence business cycle dynamics in the affected countries. This paper studies the macroeconomic implications of temporary migration using a two-country dynamic stochastic general equilibrium model calibrated to represent the “old” EU Member States (EU15) and the “new” Member States (NMS12). The model introduces fully endogenous temporary migration and combines it with search-and-matching frictions in labour markets.
Does artificial intelligence (AI) pose a threat to financial stability? We study AI investor behavior, specifically Q-learning and large language model (LLM) investors, in a mutual fund redemption problem with economic and strategic uncertainty. Different AI architectures generate systematically different outcomes. Q-learning investors coordinate well but under default risk exhibit excessive redemption that amplifies fragility. LLM investors internalize equilibrium structure but display belief heterogeneity, weakening coordination and predictability.
We study how physical climate risk shapes bank lending activity and credit quality by combining high-resolution Copernicus flood geospatial maps with loan-level AnaCredit data. We exploit four major European floods (2021–2024) in a spatial regression discontinuity design comparing firms located just inside versus just outside flood boundaries (within 300–500 meters). We find that immediately after floods there is an increase by about 3.5 to 5% in lending, driven by liquidity demand, followed by a contraction of similar magnitude in the subsequent quarter.
Exchange of letters between the Governor and the Chancellor
Using who-to-whom data for the last quarter of 2024, I build networks of financial interconnections in the euro area countries. After representing them in chord diagrams, I consider centrality metrics and find that banks dominate, with four exceptions: Cyprus, Ireland, Luxembourg and Malta. In these countries, other financial institutions and investment funds are at the core, with limited links to domestic sectors and strong ones with the rest of the world.
