Arbeitspapier

Forecast combination in the frequency domain

Predictability is time and frequency dependent. We propose a new forecasting method - forecast combination in the frequency domain - that takes this fact into account. With this method we forecast the equity premium and real GDP growth rate. Combining forecasts in the frequency domain produces markedly more accurate predictions relative to the standard forecast combination in the time domain, both in terms of statistical and economic measures of out-of-sample predictability. In a real-time forecasting exercise, the flexibility of this method allows to capture remarkably well the sudden and abrupt drops associated with recessions and further improve predictability.

Sprache
Englisch
ISBN
978-952-323-430-7

Erschienen in
Series: Bank of Finland Research Discussion Papers ; No. 1/2023

Klassifikation
Wirtschaft
Financial Econometrics
Portfolio Choice; Investment Decisions
Financial Forecasting and Simulation
Thema
forecast combination
frequency domain
equity premium
GDP growth
Haar filter
wavelets

Ereignis
Geistige Schöpfung
(wer)
Faria, Gonçalo
Verona, Fabio
Ereignis
Veröffentlichung
(wer)
Bank of Finland
(wo)
Helsinki
(wann)
2023

Handle
Letzte Aktualisierung
20.09.2024, 08:24 MESZ

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

  • Faria, Gonçalo
  • Verona, Fabio
  • Bank of Finland

Entstanden

  • 2023

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