This study develops a new monthly euro Area‐wide Leading Indicator (ALI) for the euro area business cycle. It derives the composite ALI by applying a deviation cycle methodology with a one‐sided band pass filter and choosing nine leading series. Our main findings are that i) the applied...

The empirical literature on nominal exchange rates shows that the current exchange rate is often a better predictor of future exchange rates than a linear combination of macroeconomic fundamentals. This result is behind the famous Meese-Rogoff puzzle. In this paper we evaluate whether parameter...

Using OECD composite leading indicators (CLI), we assess empirically whether the ability of the country- specific CLIs to predict economic activity has diminished in recent years, e.g. due to rapid advances in globalisation. Overall, we find evidence that the CLI encompasses useful information...

Das Gutachten untersucht, ob die IWF-Prognosen für den Zuwachs des Bruttoinlandsprodukts in der Welt und in der Gruppe der Entwicklungs- und Schwellenländer mithilfe von gängigen Frühindikatoren verbessert werden können. Dabei zeigt sich, dass die Prognosegüte der IWF-Prognosen mit...

Das ifo Institut begleitet seit seiner Gründung im Jahr 1949 das aktuelle Wirtschaftsgeschehen durch seine regelmäßigen Konjunkturumfragen und Konjunkturprognosen. Im Jahr 2007 hat das ifo Institut zur methodischen Basis seiner Konjunkturforschung einen ersten Sammelband mit ausgewählten...

Das ifo Instiut hat ein neues Handbuch der umfragebasierten Konjunkturforschung erstellt. Das Handbuch gibt einen Überblick über die regelmäßigen Befragungsaktivitäten des Instituts und zeigt Möglichkeiten der wissenschaftlichen Verwertung der Befragungsergebnisse im Rahmen der...

Short-term fiscal indicators based on public accounts data are often used by European policy makers. They represent one of the main sources of publicly available intra-annual fiscal information. Nevertheless, these indicators have received limited attention from the academic literature analysing...

Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to apply a regularization strategy and solve the model selection task as a continuous optimization problem. One of the most popular approaches in this research field is given by...

We use data generated by a macroeconomic DSGE model to study the relative benefits of forecast combinations based on forecast-encompassing tests relative to simple uniformly weighted forecast averages across rival models. Assumed rival models are four linear autoregressive specifications, one of...