Research ArticleJournal of Scientometric ResearchVol. 14 | Issue 1 | 2025 | pp. 221–238Open access
Stock Market Analysis and Prediction: A Bibliometric Analysis
- 1*,
- 1
- 1 Department of Business Administration, Sambalpur University, Odisha, INDIA.
Published in Journal of Scientometric Research
Correspondence: Chandan Kumar Bal
Department of Business Administration, Sambalpur University, Odisha, INDIA.
Email: rohitjrf@gmail.com
Copyright: © 2025 Manuscript Technomedia. This is an open access article.
- Published:
- Aug 25, 2025
- Received:
- Apr 25, 2024
- Accepted:
- Jan 29, 2025
How to cite
Bal, C. K., & Mishra, R. K. (2025). Stock Market Analysis and Prediction: A Bibliometric Analysis. Journal of Scientometric Research, 14(1), 221–238. https://doi.org/10.5530/jscires.20251277
Abstract
Stock market prediction and analysis is an important subject of discussion for stock market prediction and analysis. The aim of the study is to explore literature with respect to stock market and its prediction. The paper focuses on the theme of evolution and conceptual cluster of stock market analysis and prediction based on Bibliometric Analysis. The study mainly derives on three keywords, i.e. stock market, market prediction, as well as stock analysis. For this study, 160 Scopus indexed research papers has been used for analysis. In our analysis the journal of prominence, the most cited authors, most cited articles, co-authorship network analysis, keyword occurrences, clustering and visualization. The outcome demonstrates the trends of research within the specified field and will assist the research community in addressing challenges pertaining to each core concept.
Keywords
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Article metadata
| Title | Stock Market Analysis and Prediction: A Bibliometric Analysis |
|---|---|
| Authors | Chandan Kumar Bal; Rohita Kumar Mishra |
| Affiliations | Department of Business Administration, Sambalpur University, Odisha, INDIA. |
| Corresponding author | rohitjrf@gmail.com |
| Journal | Journal of Scientometric Research |
| Volume / Issue | Vol. 14, Issue 1 (2025) |
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