Data Analytics Incorporated with Machine Learning Approaches in Finance

Sanjay Goswami, Jyoti Mishra () and Mahendra Tiwari ()
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Sanjay Goswami: United College of Engineering and Research
Jyoti Mishra: University of Allahabad, Department of Electronics and Communication
Mahendra Tiwari: University of Allahabad, Department of Electronics and Communication

A chapter in Data Analytics for Management, Banking and Finance, 2023, pp 73-93 from Springer

Abstract: Abstract From the last few decades, a huge volume of financial data has been generated from the various heterogeneous sources of financial institutions. This data contains valuable or interesting information not easy or nearly impossible to get manually or using traditional approaches. This key information drives the business, marketing, and financial services very effectively, more economically, and with high growth in less time. This can be achieved through the fusion of data analytics (DA) techniques with finance. The rise of the DA approach from a few decades has had a great impact on the way of research or new findings. This study analyzes the literature available on various applications of DA in finance and develops an understanding for the researchers. This knowledge can utilize to resolve typical issues in the financial and decentralized financial domains and explored new ideas with their models.

Keywords: Machine learning; Financial services; Portfolio management; Decentralized finance; Blockchain; Cryptocurrency (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-36570-6_3

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DOI: 10.1007/978-3-031-36570-6_3

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