Those of professional forecasters do. For a wide range of time series models for the euro area and its member states we find a higher average forecast accuracy of models that incorporate information on inflation expectations from the ECB’s SPF and Consensus Economics compared to their...

We study how millions of highly granular and weekly household scanner data combined with novel machine learning techniques can help to improve the nowcast of monthly German inflation in real time. Our nowcasting exercise targets three hierarchy levels of the official consumer price index. First,...

We operationalize the definition of systemic risk provided by the IMF, BIS, and FSB and derive testable hypotheses to identify indicators of systemic risk. We map these hypotheses into a two-stage hierarchical testing framework, combining insights from the early-warning literature on financial...

This paper investigates the trade-off between timeliness and quality in nowcasting practices. This trade-off arises when the frequency of the variable to be nowcast, such as GDP, is quarterly, while that of the underlying panel data is monthly; and the latter contains both survey and...

We present a comprehensive disaggregate approach for short-term forecasting economic activity in Germany by explicitly taking into account the supply or production side and the demand side of GDP. The GDP figures calculated by the two sides usually yield different results and the official GDP...

We introduce a dynamic panel threshold model to shed new light on the impact of inflation on long-term economic growth. The empirical analysis is based on a large panel-data set including 124 countries during the period from 1950 to 2004. For industrialized countries, our results confirm the...

Empirical evidence indicates that high oil price volatility has a dampening effect on output in countries that import commodities. Many countries, however, gain important revenues from commodity exports. This paper investigates the output effects of commodity price volatility in commodity...

We assess the transmission of monetary policy shocks on oil prices using a VAR model. We identify monetary policy and financial activity shocks disentangled from demand and oil supply shocks using sign restrictions. We obtain the following main findings. (i) Monetary policy and financial...

We propose a structural vector-autoregressive model for the German natural gas market to investigate the impact of the 2022 Russian supply stop on the German economy. We combine conventional and narrative sign restrictions to leverage information about supply cuts for identification and find...