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Sovremennye metody fundamental'nogo analiza aktsii na osnove modelei mashinnogo obucheniia

Proceeding
All-Russian scientific and practical conference «Law, Economics and Management»
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Published in:
All-Russian scientific and practical conference «Law, Economics and Management»
Author:
Ilia N. Galkin 1
Work direction:
Общие вопросы экономических наук
Pages:
11-14
Received: 27 August 2022

Rating:
Article accesses:
833
Published in:
РИНЦ
1 FGBOU VO "Sankt-Peterburgskii gosudarstvennyi ekonomicheskii universitet"
For citation:
Galkin I. N. (2022). Sovremennye metody fundamental'nogo analiza aktsii na osnove modelei mashinnogo obucheniia. Law, Economics and Management, 11-14. Чебоксары: PH "Sreda".

Abstract

В статье приведен обзор эмпирических исследований, посвященных современным методикам фундаментального анализа акций с использованием математических моделей машинного обучения. Автором сформулированы предложения для улучшения и развития дальнейших исследований.

References

  1. 1. Cao K., You H., Fundamental Analysis Via Machine Learning // HKUST Business School Research Paper. – 2020. – 61 p.
  2. 2. Huang Y., Capretz L. F., Ho D. Machine Learning for Stock Prediction Based on Fundamental Analysis // IEEE Symposium Series on Computational Intelligence. – 2022. – P. 1–10.
  3. 3. Petrusheva N., Jordanoski I. Comparative analysis between the fundamental and technical analysis of stocks // Journal of Process Management. New Technologies. – 2016. – №4. – P. 26–31.
  4. 4. Shaharudin J., Michael T., Akmal T., Chong Y. Fundamental Analysis VS Technical analysis: The Comparison of Two Analysis in Malaysia Stock Market // UNIMAS Review of Accounting and Finance. – 2018. – Vol. 1. – P. 38–61.

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