Implementation of support vector regression and SARIMA for stock price prediction: Pfizer and AstraZeneca (2017-2025)

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Publication Details

Journal
International Journal of Markets and Business Systems
Published
2026-01-01
DOI
https://doi.org/10.1504/ijmabs.2026.10077276
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Implementation of support vector regression and SARIMA for stock price prediction: Pfizer and AstraZeneca (2017-2025)

Lutfiyah Nur Azizah, Syifana Hilmi Muthmainnah, Nazhifa Capella Az'Zahra, Maghfira Azmi Aqila et al.
International Journal of Markets and Business Systems
Stock Market Forecasting Methods
article

Implementation of support vector regression and SARIMA for stock price prediction: Pfizer and AstraZeneca (2017-2025)

Lutfiyah Nur Azizah, Syifana Hilmi Muthmainnah, Nazhifa Capella Az'Zahra, Maghfira Azmi Aqila, Widiarti Putri Kinasih
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Markets and Business SystemsVol. 7(2)
Openalex Percentile: Top 9%
Stock Market Forecasting Methods
DOISourceOpenAlex
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Implementation of support vector regression and SARIMA for stock price prediction: Pfizer and AstraZeneca (2017-2025) — Lutfiyah Nur Azizah, Syifana Hilmi Muthmainnah, et al. · International Journal of Markets and Business Systems (2026) | TGRS Research Map | TGRS