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The sentometrics toolbox: Enriching decision-making with sentiment information from news articles and corporate disclosures
Project responsable David Ardia
   
Project partner Kris Boudt
   
Abstract The sentometrics toolbox: Enriching decision-making with sentiment information from news articles and corporate disclosures
   
Keywords Textual-sentiment, machine learning, econometrics, factor models
   
Type of project Fundamental research project
Research area Finance, econometrics, machine learning
Method of financing SNSF Div I
Status Ongoing
Start of project 1-9-2018
End of project 31-8-2022
Overall budget 346,000 CHF
Contact David Ardia