Banking supervisors worldwide recognise the pressing need to harness frontier technologies such as artificial intelligence (AI), particularly machine learning (ML), to enhance their efficiency and analytical capabilities. The European Central Bank (ECB) has similarly acknowledged the...

We show that around one third of executive directors on the boards of national supervisory authorities (NSA) in European banking have an employment history in the financial industry. The appointment of executives without a finance background associates with negative valuation effects....

Risk analysis and scenario testing are two of the core activities carried out by economists at central banks. With the increasing adoption of machine learning to enhance decision-support systems, and the amount of collected data spiking, institutions provide countless use-cases for the...

These guidelines provide harmonised definitions and templates for the funding plans of credit institutions mainly as a response to the European Systemic Risk Board (ESRB) Recommendation 2012/02(1) on the funding of credit institutions and, in particular, Recommendation A.4, addressed to the EBA,...