Trend-seasonal components identification at the stage of time series pre-forecasting analysis

This article contains the economic processes trend-seasonality identification and its analysis. The object of research is the water delivery market - HOD (Home & Office Delivery). The subject of the study is the drinking mineral water sales time series (TS) in the Krasnodar Territory in 19-liter...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2021-06, Vol.786 (1), p.12012
Main Authors: Savinskaya, D N, Popova, E V, Kondratev, V U, Popova, M I
Format: Article
Language:English
Subjects:
Drinking water
Economic analysis
Economic forecasting
Filtration
Forecasting
Mineral water
Polyethylene terephthalate
Seasonal variations
Time series
Water delivery
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Summary:This article contains the economic processes trend-seasonality identification and its analysis. The object of research is the water delivery market - HOD (Home & Office Delivery). The subject of the study is the drinking mineral water sales time series (TS) in the Krasnodar Territory in 19-liter PET bottles. The authors applied the Chetverikov’s iterative filtering method to the time series, implemented in the MS Excel environment. As the work result a step-by-step illustration of the filtering application to time series is presented, deviations are estimated, trend and the wave intensity coefficient are given. The practical significance of the study is that the characteristics obtained are the basis for subsequent effective forecasting.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/786/1/012012