The Bank, FCA and HM Treasury joint statement on Frontier AI models and cyber resilience
Statement from the Bank of England, Financial Conduct Authority and HM Treasury
Statement from the Bank of England, Financial Conduct Authority and HM Treasury
Coles has been found to have misled its supermarket customers over discounts – and could now face hundreds of millions of dollars in penalties.
In a landmark case, Federal Court Justice Michael O'Bryan found 13 out of 14 sample sale tickets examined in the case had not offered genuine discounts, because Coles had not sold the products at a higher price for a reasonable period before promoting them with “Down Down” discounts.
Sriya Anbil, Sebastian Infante, Zeynep SenyuzIn an ample-reserves framework, administered rates anchor money markets but suppress information from unsecured interbank trading. We recover that information by isolating the small interbank segment of the federal funds market.
Celso Brunetti, Jeffery H. Harris, Ioannis SpyridopoulosNo, in the mortgage market. Using confidential micro-level data combining mortgage contracts with credit and repayment records for 44 million loans spanning 5,000 bank mergers over nearly three decades, we find no changes to mortgage rates, approval rates, or delinquency rates. Local mortgage markets remain remarkably competitive despite consolidation, averaging over 100 active lenders in each county every post-merger quarter.
Eric EngstromIn January 2012, the Federal Reserve began publishing the Summary of Economic Projections (SEP) "dot plot," revealing FOMC participants' projections for the federal funds rate. This paper documents a dual role for SEP projections in the formation of private interest-rate expectations. On one hand, SEP projections contain valuable information, achieving lower forecast errors than consensus surveys, VAR models, and several market-based measures at many horizons.
We empirically analyse the role of judgement in assigning overall scores by the euro area supervisors as part of the yearly Supervisory Review and Evaluation Process (SREP), which evaluates banks’ risks and sets supervisory actions. We also analyse its role in shaping the drivers of the Pillar 2 capital requirement (P2R) that banks must fulfil. We find that supervisors actively adjust the weight of the components of the overall score to reflect qualitative information, thereby smoothing fluctuations in the final assessment.
We examine whether banks incorporate firm-level biodiversity risk into their lending decisions. Using a large sample of syndicated loans matched to firm-level biodiversity risk measures, we document that borrowers with higher biodiversity risk face significantly higher loan spreads. Evidence on loan volumes is weaker, suggesting that banks primarily adjust along the pricing margin rather than restricting credit supply.
This paper studies the impact on cashflows and financial decisions of firms affected by wildfires, focusing on the wildfires that occurred in Portugal in 2017. Using establishment-level data from the hotel industry combined with geospatial information on wildfire proximity and land use, we employ a difference-in-differences approach to study both directly and indirectly affected firms.
Using U.S. and Euro area data, we document that (i) the pass-through of energy prices to inflation is state-dependent - stronger when supply chain uncertainty is elevated – and (ii) in such states, energy prices become more informative about logistical conditions. We develop a model in which firms combine energy and a specialized input transported through a capacity-constrained transportation network. When congestion binds, energy remains available in local markets at a premium, whereas the specialized input is subject to delivery delays.
The same technology that promises efficiency in offices is fueled by a system that is making life more costly for everyday workers. Part of “AI and the Future of the American Worker,” a series on how artificial intelligence is impacting labor, power, and the meaning of work.
You can’t open a news site without tripping over a grand declaration about how AI is remaking the economy. But often there’s a crucial part of the story missing: Who exactly is paying for the sprawling, power-guzzling machinery it needs to run on?