Arbeitspapier

Nowcasting BRIC+M in Real Time

Emerging-market economies have become increasingly important in driving global GDP growth over the past 10 to 15 years. This has made timely and accurate assessment of current and future economic activity in emerging markets important for policy-makers not only in these countries but also in advanced economies. This paper uses state-of-theart dynamic factor models (DFMs) to nowcast real GDP growth in five major emerging markets - Brazil, Russia, India, China and Mexico ("BRIC+M"). The DFM framework allows us to efficiently handle data series characterized by different publication lags, frequencies and sample lengths. This framework is particularly suitable for emerging markets for which many indicators are subject to significant publication lags and/or have been compiled only recently. The methodology also allows us to extract model-based "news" from a data release and assess the impact of this news on nowcast revisions. Results show that the DFMs generally outperform simple univariate benchmark models for the BRIC+M. Overall, our results suggest that the DFM framework provides reliable nowcasts for GDP growth for the emerging markets under consideration.

Sprache
Englisch

Erschienen in
Series: Bank of Canada Working Paper ; No. 2015-38

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Forecasting Models; Simulation Methods
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Thema
Econometric and statistical methods
International topics

Ereignis
Geistige Schöpfung
(wer)
Dahlhaus, Tatjana
Guénette, Justin-Damien
Vasishtha, Garima
Ereignis
Veröffentlichung
(wer)
Bank of Canada
(wo)
Ottawa
(wann)
2015

DOI
doi:10.34989/swp-2015-38
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.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Dahlhaus, Tatjana
  • Guénette, Justin-Damien
  • Vasishtha, Garima
  • Bank of Canada

Entstanden

  • 2015

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