A central banking perspective on alternative data
We summarise a recent paper from the BIS, which outlines the usage of big data and machine learning within the central bank community, based on a recent survey of Irving Fischer Committee members.
We summarise a recent paper based on a high-frequency trading firm that adopts deep neural network (DNN) machine learning systems for trading functions. The paper considers how we can begin to explain the decisions of DNNs, despite their opacity.
This Literature Review discusses the findings from a longitudinal, qualitative study of a machine learning-powered trading company.
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