Bank of England launches policy statement and draft rules on regulating systemic stablecoins
The Bank of England has today published its policy statement and draft Code of Practice (rules) for systemic stablecoin issuers.
The Bank of England has today published its policy statement and draft Code of Practice (rules) for systemic stablecoin issuers.
This Market Notice sets out the schedule for sales in Q3 2026 of gilts held in the Asset Purchase Facility (APF) for monetary policy purposes.
The Prudential Regulation Authority (PRA) has today published a consultation on the internal model approach to market risk (IMA), which represents the final piece of Basel 3.1’s implementation in the UK.
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.
Following the publication of the Monetary Policy Summary and minutes of the Monetary Policy Committee meeting
The Bank of England’s Monetary Policy Committee is responsible for making decisions about Bank Rate.
Index-linked treasury stocks are gilts issued by the UK Government. They pay out twice a year, with the amount indexed to the Retail Prices Index.
Europe is increasingly exposed to heat waves and droughts, but their short-term economic effects across sectors remain hard to predict. This study develops climate-augmented models to predict real growth in per capita value added across 1,117 EU regions (2002–2022), by combining economic indicators with high-frequency climate data. When using machine learning (ML, Random Forest and XGBoost), climate variables improve predictions in agriculture, while gains for other sectors are limited and do not outperform economic models.
Statement from the Bank of England
How well does innovation diffuse across geographic boundaries? To shed light on this question, we present a large-scale field experiment involving 3,300 firms across twelve European Union countries. We elicit firms’ perceptions of the share of similar firms in their own country that had invested in artificial intelligence (AI), as well as the corresponding share among similar firms in Germany, France, and Italy. We randomly provide half of the sample with accurate information about both domestic and foreign AI investment.