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Applications of Big Data Analytics in Investment Management: A Review and Future Research Agenda Using TCM Framework
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Author(s): Prajwal Eachempati (Trinity Business School Trinity College Dublin, Ireland)and Praveen Ranjan Srivastava (Indian Institute of Management, Rohtak, India)
Copyright: 2022
Volume: 33
Issue: 1
Pages: 32
Source title:
Journal of Database Management (JDM)
Editor(s)-in-Chief: Keng Siau (City University of Hong Kong, Hong Kong SAR)
DOI: 10.4018/JDM.299557
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Abstract
Big data has emerged as an important resource for generating wealth in society along with capital and labour, as data analytics generates valuable information and provides critical insights to gain competitive advantage. In Investment management, access to information is vital. As analytics causes information asymmetry among those who use it and others, it has become a key result area in the domain.IM involves multi-criteria decision-making necessitating managers to acquire core capability in analytics. The field of IM is passing through rapid changes, with varying customer preferences, advancing technologies, diminishing margins, acute competition, in the midst of increase in compliances. Cock-pit monitoring and goal-based portfolio preferences by some large customers have complicated IM. The paper explores the rationale for implementing big data analytics and identifies evolving tools and technologies that are applicable in the domain. The paper also highlights few emerging areas of research in the field using both bibliometric analysis and systemic literature review techniques.
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