Arbeitspapier

Business cycle dating and forecasting with real-time Swiss GDP data

We develop a small-scale dynamic factor model for the Swiss economy based on an appropriately selected set of indicators. The resulting business cycle factor is in striking accordance with historical Swiss business cycle fluctuations. Our proposed model demonstrates a remarkable performance in short-term and medium-term forecasting. Using real-time GDP data since 2004, the model successfully anticipates the downturn of 2008-09 and responds in a timely manner to the recent sudden drop following the removal of the Swiss Franc lower bound. In a Markov-switching extension, we propose that our model could be used for Swiss recession dating. Our model does not indicate a regime-switch following the removal of the Swiss Franc lower bound.

Sprache
Englisch

Erschienen in
Series: WIFO Working Papers ; No. 542

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Forecasting Models; Simulation Methods
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Thema
Dynamic Factor Model
Nowcasting
Real-Time Data
Markov-Switching

Ereignis
Geistige Schöpfung
(wer)
Glocker, Christian
Wegmüller, Philipp
Ereignis
Veröffentlichung
(wer)
Austrian Institute of Economic Research (WIFO)
(wo)
Vienna
(wann)
2017

Handle
Letzte Aktualisierung
10.03.2025, 11:43 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.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Glocker, Christian
  • Wegmüller, Philipp
  • Austrian Institute of Economic Research (WIFO)

Entstanden

  • 2017

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