The ECB has collected data on the unrealised losses of significant institutions under its direct supervision with a view to enhancing the assessment of risk in the held-to-maturity portfolios of euro area banks and to furthering its monitoring of interest rate risk and liquidity risk.

The regulatory use of banks' internal models aims at making capital requirements more accurate and reducing regulatory arbitrage, but may also give banks incentives to choose their risk models strategically. Current policy answers to this problem include the use of risk-weight floors and...

This paper takes a financial market perspective in examining the relationship between oil prices, the US dollar and asset prices, and it exploits the heteroskedasticity for the identification of causality in a multifactor model. It finds a bidirectional causality between the US dollar and oil...

Savings accounts are owned by most households, but little is known about the performance of households' investments. We create a unique dataset by matching information on individual savings accounts from the DNB Household Survey with market data on account-specific interest rates and...

We use a unique dataset with bank clients' security holdings for all German banks to examine how macroeconomic shocks affect asset allocation preferences of households and non-financial firms. Our analysis focuses on two alternative mechanisms which can influence portfolio choice: wealth shocks,...

Assessing European financial integration has proved difficult because of complex financial intermediation activities carried out in some European financial centres (Ireland, Luxembourg, and the Netherlands) whose scale has grown enormously over time. We refer to these three countries as "onshore...

The change in macroeconomic conditions since the ECB's strategy review in 2021 towards an environment characterised by above-target inflation, high interest rates, and renewed concerns about elevated government debt has been a vocal reminder of the intricate interdependencies between monetary...

We provide a versatile nowcasting toolbox that supports three model classes (dynamic factor models, large Bayesian VAR, bridge equations) and offers methods to manage data selection and adjust for Covid-19 observations. The toolbox aims at simplifying two key tasks: creating new nowcasting...