Be Wary of Black-Box Trading Algorithms
Abstract
Black-box algorithms now account for nearly a third of all US stock trades. It is a mistake to think that these algorithms possess superhuman intelligence. In reality, computers do not have the common sense and wisdom that humans have accumulated by living. Trading algorithms are particularly dangerous because they are so efficient at discovering statistical patterns—but so utterly useless in judging whether the discovered patterns are...
Paper Details
Title
Be Wary of Black-Box Trading Algorithms
Published Date
May 10, 2019
Journal
Volume
28
Issue
5
Pages
7 - 15
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History