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Financial data science

Paolo Giudici ()

Statistics & Probability Letters, 2018, vol. 136, issue C, 160-164

Abstract: Data science can be defined as the interaction between computer programming, statistical learning, and one of the many possible domains where it can be applied. In the paper we provide a description of Financial data science, which involves the application of data science to technologically enabled financial innovations (FinTech), often driven by data science itself. We show that one of the most important data science models, correlation networks, can play a significant role in the advancements of Fintech developments.

Keywords: Data science; Financial technologies; Graphical models; Network models (search for similar items in EconPapers)
JEL-codes: G01 C58 C63 (search for similar items in EconPapers)
Date: 2018
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