Exploring the Role of Artificial Intelligence in Predictive Analytics for Financial Markets
Artificial Intelligence (AI) has the potential to improve forecasting accuracy, enhance risk management, and streamline decision-making, there has been an increasing amount of interest in integrating AI into financial market predictive analytics. This study offers a thorough examination of the ways in which artificial intelligence (AI) methods, including machine learning and deep learning, increase financial market forecasting. It looks at a variety of AI-based models and algorithms that are used to predict financial risk factors, stock prices, and market trends. Additionally, the paper addresses opportunities and challenges related to implementing AI in financial prediction and suggests future research avenues.
Authors
- Ankitha Sharma (ORCID: https://orcid.org/0009-0007-9222-3736)
- Pinnika Syam Yadav (ORCID: https://orcid.org/0000-0003-4954-1273)
- Ruby Dahiya (ORCID: https://orcid.org/0000-0001-9492-2054)
- Sapna Yadav (ORCID: https://orcid.org/0000-0001-6038-880X)
- Virender Kumar Dahiya (ORCID: https://orcid.org/0009-0008-7826-1936)
- Abhishek Sharma (ORCID: https://orcid.org/0000-0001-9190-3341)
- P. B. Narendra Kiran (ORCID: https://orcid.org/0000-0002-9883-3240)
- Reshabh Dev (ORCID: https://orcid.org/0009-0007-7061-2765)
Institutions
- Lovely Professional University (IN)
- Jaypee Institute of Information Technology (IN)
- Galgotias University (IN)
- Christ University (IN)
Publication Details
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1109/iccsc62048.2024.10830442
- Citations
- 6
- Primary Topic
- Stock Market Forecasting Methods
- Type
- article
- Field-Weighted Citation Impact
- 2.45