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In this paper a dynamic bi-factor model with Markov switching is proposed to measure and predict turning points of the German business cycle. It estimates simultaneously the composite leading indicator (CLI) and composite coincident indicator (CCI) together with corresponding probabilities of...
Persistent link: https://www.econbiz.de/10002927882
The appropriately selected leading indicators can substantially improve the forecasting of the peaks and troughs of the business cycle. Using the novel methodology of the dynamic bi-factor model with Markov switching and the data for three largest European economies (France, Germany, and UK) we...
Persistent link: https://www.econbiz.de/10003285727
In this paper, the authors construct country-specific chronologies of the house price bubbles for 12 OECD countries over the period 1969:Q1-2009:Q4. These chronologies are obtained using a combination of a fundamental approach and a filter approach. The resulting speculative bubble chronology is...
Persistent link: https://www.econbiz.de/10010311844
Der Beitrag liefert einen kurzen Überblick über alternative Methoden der Bestimmung von Konjunkturzyklen - die Ermittlung auf Grundlage vor-, gleich- und nachlaufender Zeitreihen gesamtwirtschaftlicher Variablen sowie die Zerlegung in Trend- und Zykluskomponenten mittels ökonometrischer...
Persistent link: https://www.econbiz.de/10010377809
Die vorliegende Bewertung der Treffgenauigkeit von Prognosen sowie von vorläufigen amtlichen Berechnungen zur wirtschaftlichen Entwicklung in Deutschland zeigt, dass frühe Prognosen nicht nur sehr ungenau sind, sondern auch systematisch zu optimistisch ausfallen. Die mehr als ein Jahr im...
Persistent link: https://www.econbiz.de/10011601977
This study utilizes the dynamic factor model of Giannone et al. (2008) in order to make now-/forecasts of GDP quarter-on-quarter growth rates in Switzerland. It also assesses the informational content of macroeconomic data releases for forecasting of the Swiss GDP. We find that the factor model...
Persistent link: https://www.econbiz.de/10010277729
In this paper, we investigate whether the Google search activity can help in nowcasting the year-on-year growth rates of monthly US private consumption using a real-time data set. The Google-based forecasts are compared to those based on a benchmark AR(1) model and the models including the...
Persistent link: https://www.econbiz.de/10010277780