Stock Market Prediction Using Artificial Intelligence: A Systematic Review of Systematic Reviews
Resource type
Authors/contributors
- Lin, Coka Chinyang (Author)
- Marques, Joao Alexandre Lobo (Author)
Title
Stock Market Prediction Using Artificial Intelligence: A Systematic Review of Systematic Reviews
Abstract
There are many systematic reviews on predicting stock. However, each of them reveals a different portion of the hybrid AI analysis and stock prediction puzzle. The principal objective of this research was to systematically review and conclude the systematic reviews on AI and stock to provide particularly useful predictions for making future strategies for stock markets. Keywords that would fall under the broad headings of AI and stock prediction were looked up in two databases, Scopus and Web of Science. We screened 69 titles and read 43 systematic reviews which include more than 379 studies before retaining 10 of them.
Genre
SSRN Scholarly Paper
Archive ID
4341351
Place
Rochester, NY
Date
2023-01-29
Accessed
3/22/23, 6:33 AM
Short Title
Stock Market Prediction Using Artificial Intelligence
Language
en
Library Catalog
Social Science Research Network
Citation
Lin, C. C., & Marques, J. A. L. (2023). Stock Market Prediction Using Artificial Intelligence: A Systematic Review of Systematic Reviews (SSRN Scholarly Paper No. 4341351). https://doi.org/10.2139/ssrn.4341351
Academic Units
United Nations SDGs
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