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
Full Text URL :
Record number :
2565811
Link To Document :
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