Thomas Renault
Cited by
Cited by
Economic uncertainty before and during the COVID-19 pandemic
D Altig, S Baker, JM Barrero, N Bloom, P Bunn, S Chen, SJ Davis, ...
Journal of Public Economics 191, 104274, 2020
Intraday online investor sentiment and return patterns in the US stock market
T Renault
Journal of Banking & Finance 84, 25-40, 2017
Words are not all created equal: A new measure of ECB communication
M Picault, Renault, Thomas
Journal of International Money and Finance 79, 136-156, 2017
Sentiment analysis and machine learning in finance: a comparison of methods and models on one million messages
T Renault
Digital Finance 2 (1), 1-13, 2020
Market manipulation and suspicious stock recommendations on social media
T Renault
Available at SSRN 3010850, 2017
What makes cryptocurrencies special? Investor sentiment and return predictability during the bubble
CYH Chen, R Despres, L Guo, T Renault
Investor Sentiment and Return Predictability During the Bubble (June 3, 2019), 2019
Does investor sentiment on social media provide robust information for Bitcoin returns predictability?
D Guégan, T Renault
Finance Research Letters 38, 101494, 2021
Social distancing beliefs and human mobility: Evidence from Twitter
S Porcher, T Renault
Plos one 16 (3), e0246949, 2021
When machines read the web: Market efficiency and costly information acquisition at the intraday level
R Gillet, T Renault
Finance 40 (2), 7-49, 2019
Comment prévoir l’emploi en lisant le journal
C Bortoli, S Combes, T Renault
Note de conjoncture, INSEE, mars, 35-43, 2017
Nowcasting GDP Growth by Reading Newspapers
C Bortoli, S Combes, T Renault
Economie et Statistique 505 (1), 17-33, 2018
Media sentiment on monetary policy: determinants and relevance for inflation expectations
M Picault, J Pinter, T Renault
Available at SSRN 3686904, 2020
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