The Nestle Share Price Dynamics Analysis and Forecasting

The article presents the latent periodicities’ study results in the Nestle shares dynamics using anamorphosis for the Gompertz models. The self-similar growth ranges boundaries are interconnected with the functions local minimums and together with them determine the world prices spectral composition...

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Bibliographic Details
Published inSoftware Engineering Application in Informatics Vol. 232; pp. 107 - 127
Main Author Dzerjinsky, Roman I.
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2021
Springer International Publishing
SeriesLecture Notes in Networks and Systems
Subjects
Anamorphosis
Dynamics predictive assessment
Intensive growth models
Model Gompertz
Near-periods
Self-similarity
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ISBN9783030903176
3030903176
ISSN2367-3370
2367-3389
DOI10.1007/978-3-030-90318-3_11

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Summary:The article presents the latent periodicities’ study results in the Nestle shares dynamics using anamorphosis for the Gompertz models. The self-similar growth ranges boundaries are interconnected with the functions local minimums and together with them determine the world prices spectral composition for Nestle shares. The series structural analysis showed the growth possibility in the shares’ value until 2025, and after reaching its global maximum at the 2025 end, its fall and reaching its minimum in the 2026 third quarter. The development unstable phase (the restructuring phase) falls on the period from 2028 to 2037. #COMESYSO1120.
ISBN:9783030903176
3030903176
ISSN:2367-3370
2367-3389
DOI:10.1007/978-3-030-90318-3_11