Title:

Wavelets in the prediction of short-time series

Group publication title:

Mathematical Economics

Creator:

Hadaś-Dyduch, Monika

Subject and Keywords:

wavelets ; prediction ; Daubechies wavelets ; Haar wavelet

Description:

Mathematical Economics, 2015, Nr 11 (18), s. 43-54

Abstrakt:

The aim of this article is to present original application wavelets to the prediction of short-term of time series. The model proposed to predict short-term time series (in particular for predicting macroeconomic indicators) is a model of copyright. The model is based on wavelet analysis, the Haar wavelet, the Daubechies wavelet and adaptive models. The Daubechies wavelets are a family of orthogonal wavelets and are characterized by a maximal number of vanishing moments for some given support. Adaptive models have been appropriately modified by the introduction of a wavelet function and combined into one predictive model. The results obtained from the study results indicate that the authorial model is an effective tool for short-term predictions. The model was applied to predict macroeconomic indicators.

Publisher:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Place of publication:

Wrocław

Date:

2015

Resource Type:

artykuł

Format:

application/pdf

Resource Identifier:

doi:10.15611/me.2015.11.04

Language:

eng

Relation:

Mathematical Economics, 2015, Nr 11 (18)

Rights:

Pewne prawa zastrzeżone na rzecz Autorów i Wydawcy

Access Rights:

Dla wszystkich zgodnie z licencją

License:

CC BY-NC-ND

Location:

Uniwersytet Ekonomiczny we Wrocławiu