ADAPTIVE MODELS IN FORECASTING OF HIGH-FREQUENCY TIMES SERIES WITH SYSTEMATIC GAPS Cover Image

MODELE ADAPTACYJNE W PROGNOZOWANIU NA PODSTAWIE SZEREGÓW CZASOWYCH O WYSOKIEJ CZĘSTOTLIWOŚCI Z LUKAMI SYSTEMATYCZNYMI
ADAPTIVE MODELS IN FORECASTING OF HIGH-FREQUENCY TIMES SERIES WITH SYSTEMATIC GAPS

Author(s): Jan Zawadzki
Subject(s): Economy
Published by: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
Keywords: forecasting; high frequency data; complex seasonality; exponential smoothing; systematic gaps;

Summary/Abstract: In the paper will be presented results of the application of Brown, Holt and Holt-Winters models in the forecasting of a very high frequency variable in condition of lack of full information, based on seasonal adjusted time series, from which two or three types of seasonal fluctuations were removed. Two variants of systematic gaps were considered.

  • Issue Year: XVIII/2017
  • Issue No: 2
  • Page Range: 374-389
  • Page Count: 16
  • Language: Polish
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