Unveiling the Future: Exploring Stock Price Prediction in the Finance Sector through Machine Learning and Deep Learning - A Comprehensive Bibliometric Analysis
- Title
- Unveiling the Future: Exploring Stock Price Prediction in the Finance Sector through Machine Learning and Deep Learning - A Comprehensive Bibliometric Analysis
- Creator
- Martha Sucharitha M.; Basha M.S.A.; Prabhavathi C.; Christina S.; Varikunta O.
- Description
- The investigation of predicting share prices is a captivating and beneficial area of study within the realm of economic research. precise projections and findings can potentially benefit shareholders by reducing the risk of making suboptimal investment selections. The objective of this investigation is to examine the present state of research pertaining to the prognostication of share price predictions through the utilization of Machine Learning (ML) and Deep Learning techniques. The present study examined the existing body of scientific works on methods involving DL and ML in the context of predicting the value of stocks. This study presents a comprehensive overview of research trends, methodologies, and applications in a particular field by conducting a bibliometric analysis of publications indexed in the Scopus database. Drawing from the presented data, recommendations for optimal methodologies can be formulated. The data was visually represented through the utilization of the R programming language and Vos Viewer software. The investigation additionally discerns the primary authors, institutions, and nations that are making contributions to this particular field of research. The outcomes of this investigation possess the potential to guide future research trajectories and offer significant perspectives for professionals and policymakers who are keen on utilizing machine learning and deep learning in the financial sector. 2024 IEEE.
- Source
- International Conference on Smart Systems for Applications in Electrical Sciences, ICSSES 2024
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Bibliographic Coupling component; Bibliometric; Co-authorship; Publication trends; R-studio; Vos Viewer
- Coverage
- Martha Sucharitha M., Christ (Deemed to be University), Department of Professional Studies, Bengaluru, India; Basha M.S.A., Gandhi Institute of Technology and Management (Deemed to be University), GITAM School of Business, Bengaluru, India; Prabhavathi C., Christ (Deemed to be University), Department of Professional Studies, Bengaluru, India; Christina S., Christ (Deemed to be University), Department of Professional Studies, Bengaluru, India; Varikunta O., CMRIT Engineering College, Department of MBA, Hyderabad, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835036404-0
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Martha Sucharitha M.; Basha M.S.A.; Prabhavathi C.; Christina S.; Varikunta O., “Unveiling the Future: Exploring Stock Price Prediction in the Finance Sector through Machine Learning and Deep Learning - A Comprehensive Bibliometric Analysis,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19399.