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Alternative Data in FinTech and Business Intelligence

In: The Palgrave Handbook of FinTech and Blockchain

Author

Listed:
  • Lin William Cong

    (Cornell University)

  • Beibei Li

    (Carnegie Mellon University)

  • Qingquan Tony Zhang

    (University of Illinois Urbana Champaign)

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.

Suggested Citation

  • Lin William Cong & Beibei Li & Qingquan Tony Zhang, 2021. "Alternative Data in FinTech and Business Intelligence," Springer Books, in: Maurizio Pompella & Roman Matousek (ed.), The Palgrave Handbook of FinTech and Blockchain, edition 1, chapter 0, pages 217-242, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-66433-6_9
    DOI: 10.1007/978-3-030-66433-6_9
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    Cited by:

    1. Tigges, Maximilian & Mestwerdt, Sönke & Tschirner, Sebastian & Mauer, René, 2024. "Who gets the money? A qualitative analysis of fintech lending and credit scoring through the adoption of AI and alternative data," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    2. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang, 2022. "Causal complexity analysis for fintech adoption at the country level," Journal of Business Research, Elsevier, vol. 153(C), pages 228-234.
    3. Cong, Lin William & Wei, Wenshi & Xie, Danxia & Zhang, Longtian, 2022. "Endogenous growth under multiple uses of data," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    4. Chang, Qing & Wu, Mengtao & Zhang, Longtian, 2024. "Endogenous growth and human capital accumulation in a data economy," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 298-312.

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