European Central Bank

Supervisory data are typically not conceived for statistical purposes or considered “official statistics”, but they are disclosed to the public, either directly by the supervised institutions or indirectly by the competent authorities. This disclosure is required under Pillar 3 of the Basel framework on banking supervision. The aim of the framework is to promote market discipline, whereby market participants monitor the risks and financial positions of banks and take action to guide, limit and price their risk-taking to safeguard financial stability.

We document that about 33% of the core inflation basket in the euro area is sensitive to monetary policy shocks. We assess potential theoretical mechanisms driving the sensitivity. Our results suggest that items of a discretionary nature, as reflected in a higher share in the consumption baskets of richer households, and those with larger role of credit in financing their purchase, tend to be more sensitive.Non-sensitive items are more frequently subject to administered prices and include non-discretionary items such as rents and medical services.

Negative economic shocks can cause waves of investor pessimism about the resilience of banks, which, in turn, generate additional adverse macroeconomic effects. This is commonly cited as an explanation for the economic havoc wrought by the global financial crisis of 2007-08. We introduce the notion of pessimism in a real business cycle model, which is a standard framework for business cycle analysis. The possibility of waves of pessimism generates countercyclical demand from banks for liquid assets (e.g., bank reserves).

The projected increase in extreme climate events in the coming decades is likely to exacerbate the existing productivity and demographic challenges facing Europe. We study the dynamic, medium-run macroeconomic effects of heatwaves, droughts and floods in 1160 EU regions through the lens of a local projections, difference in difference framework. Summer heatwaves and droughts lower medium-term output, but the impact from floods depends on regional income levels. High-income regions witness reconstruction activity, less wealthy regions do not.