Project description
When data is too much to handle
Today’s fast growth of volume and variety of data (data abundance) has not been matched by the use of AI technologies to harness this data. The EU-funded FIDAI project will study how this evolution affects the quality and character of information produced in financial markets. For instance, does it impact the signal-to-noise ratio in securities prices and capital allocation? FIDAI will answer this question, among others, based on combined analytical and empirical research. It will create a theory of optimal data mining for the quality of predictors used by investors. It will analyse possible implications for the quality and nature of information on financial markets and their effects on corporate investment.
Fields of science
- natural sciencescomputer and information sciencesartificial intelligence
- humanitiesphilosophy, ethics and religionphilosophyhistory of philosophycontemporary philosophy
- social scienceseconomics and businesseconomicsmonetary and finances
- natural sciencescomputer and information sciencesdata sciencedata mining
Programme(s)
Topic(s)
Funding Scheme
ERC-ADG - Advanced Grant
Host institution
78350 Jouy-en-josas
France
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Beneficiaries (1)
78350 Jouy-en-josas
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