International Journal of Financial Data Science (IJFDS)
Journal Descriptions
The International Journal of Financial Data Science (IJFDS) is an open-access, peer-reviewed international journal published by IAEME Publication. It serves as a pivotal platform, acknowledging and embracing the evolving role of data science and related disciplines in the financial industry and quantitative asset management. IJFDS focuses on research activities within the realm of data science, including big data analytics, artificial intelligence, machine learning, and related fields, as applied in the context of asset management. The journal stands as a testament to the growing significance of data-driven approaches in shaping financial decisions and practices. Aim The primary aim of IJFDS is to bridge the gap between investment practice and data science, fostering a collaborative space for practitioners and academics to disseminate their research findings to the financial community. The journal aims to provide data science professionals with access to the best research at the intersection of investment strategies and data science methodologies. By doing so, IJFDS strives to contribute to the advancement of knowledge and practices in financial data science, addressing the unique challenges and opportunities presented by the integration of data-driven approaches in asset management.
International Journal of Financial Data Science (IJFDS) is :-
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International, Peer-Reviewed, Open Access, Refereed, Big Data Analytics in Finance, Artificial Intelligence, Asset Management, Machine Learning, Financial Decision-Making, Econometrics, New Econometric Methodologies, Data-Scientific Measurements, Computer Hardware., Enhanced Treatment , Online , Monthly Journal
- UGC Approved, ISSN Approved: P-ISSN E-ISSN: 1233-1259, Established: 2024, Impact Factor: 2.40
- Does Not Provide Crossref DOI
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Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE