• Title of article

    Big data in finance: Evidence and challenges

  • Author/Authors

    Subrahmanyam, Avanidhar Anderson School - UCLA, Los Angeles, CA, USA

  • Pages
    5
  • From page
    283
  • To page
    287
  • Abstract
    I review the literature on the use of big data sets in finance. While big data and machine learning are exciting fields, there is a danger that we get carried away by the novelty of the topics but pay less attention to the reliability of the academic evidence. Following my review, I argue that big data-based evidence should be held to the same academic standards as the rest of the finance academic literature if we are to provide useful advice to finance practitioners.
  • Keywords
    Big data in finance , finance , finance practitioners
  • Journal title
    Borsa Istanbul Review
  • Serial Year
    2019
  • Record number

    2565811