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.

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

Bibliographic citation
Series: Bank of Finland Research Discussion Papers ; No. 1/2023

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

Event
Geistige Schöpfung
(who)
Faria, Gonçalo
Verona, Fabio
Event
Veröffentlichung
(who)
Bank of Finland
(where)
Helsinki
(when)
2023

Handle
Last update
20.09.2024, 8:24 AM CEST

Data provider

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Object type

  • Arbeitspapier

Associated

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

Time of origin

  • 2023

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