Arbeitspapier
Assessing the real-time informational content of macroeconomic data releases for now-/forecasting GDP: Evidence for Switzerland
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 offers a substantial improvement in forecast accuracy of GDP growth rates compared to a benchmark naive constant-growth model at all forecast horizons and at all data vintages. The largest forecast accuracy is achieved when GDP nowcasts for an actual quarter are made about three months ahead of the official data release. We also document that both business tendency surveys as well as stock market indices possess the largest informational content for GDP forecasting although their ranking depends on the underlying transformation of monthly indicators from which the common factors are extracted.
- Sprache
-
Englisch
- Erschienen in
-
Series: DIW Discussion Papers ; No. 970
- Klassifikation
-
Wirtschaft
Forecasting Models; Simulation Methods
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
- Thema
-
Business tendency surveys
forecasting
nowcasting
real-time data
dynamic factor model
Konjunkturprognose
Prognoseverfahren
Geschäftsklima
Faktorenanalyse
Schätzung
Schweiz
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Siliverstovs, Boriss
Kholodilin, Konstantin Arkadievich
- Ereignis
-
Veröffentlichung
- (wer)
-
Deutsches Institut für Wirtschaftsforschung (DIW)
- (wo)
-
Berlin
- (wann)
-
2010
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Siliverstovs, Boriss
- Kholodilin, Konstantin Arkadievich
- Deutsches Institut für Wirtschaftsforschung (DIW)
Entstanden
- 2010
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