Artificial intelligence and its footprint on the US economy
A Banca d'Italia paper quantifies artificial intelligence's macroeconomic footprint in the US economy, focusing on investment and production.
A new working paper from the Oesterreichische Nationalbank (OeNB) finds that immigration significantly boosts trade for OECD countries.
A Banca d'Italia study reveals that expert assessment significantly improves the predictive power of its in-house credit assessment system (ICAS) for Italian non-financial firms.
A CSSF working paper assesses liquidity management tools (LMTs) used by Luxembourg-domiciled open-ended funds.
Banco de México's latest report on regional economies for October-December 2025 indicates economic activity expanded across all regions, driven by tertiary sectors and industrial recovery.
A Banca d'Italia paper quantifies artificial intelligence's macroeconomic footprint in the US economy, focusing on investment and production.
A Banca d'Italia paper investigates if Generative AI can address significant data gaps and inconsistencies in euro area banks' emissions reporting, particularly for scope 3. The study finds GenAI offers a partial solution but notes similar quality issues and concerns regarding replicability and transparency.
A Banca d'Italia Occasional Paper provides empirical evidence that green bond pricing is sophisticated, with investors considering the issuer's environmental score and project soundness.
Agentic AI, combining large language models with autonomous goal setting, can automate key tasks in central bank policy briefing.
A Banca d'Italia study finds that artificial intelligence adoption among Italian firms increases labor productivity and profitability.
A Banca d'Italia study reveals that higher default rates on corporate loans by Italian less significant institutions (LSIs) are largely explained by their tendency to serve smaller and riskier firms.
A new Bank for International Settlements working paper finds that central bank funding schemes primarily reduce private wholesale funding costs, stimulating credit supply.