Alternative Data in FinTech and Business Intelligence

Lin Cong, Beibei Li and Qingquan Tony Zhang ()
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Qingquan Tony Zhang: University of Illinois Urbana Champaign

Chapter Chapter 9 in The Palgrave Handbook of FinTech and Blockchain, 2021, pp 217-242 from Springer

Abstract: Abstract Cong, Li, and Zhang introduce recent research in economics and business-related fields utilizing data from unconventional sources or of unstructured nature. Highlighting unifying themes of such big data and the methodologies for analyzing them at scale, this chapter elaborates the applications of (i) textual analysis in corporate finance, investment, and macroeconomic forecasts, (ii) image processing in financial markets and governance, (iii) digital footprints from social media and mobile devices, and (iv) emerging data from the Internet of Things. The authors also discuss promising directions of using alternative or unstructured data for both academics and practitioners.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-66433-6_9

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DOI: 10.1007/978-3-030-66433-6_9

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