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Thomas Renault
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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
11692020
Intraday online investor sentiment and return patterns in the US stock market
T Renault
Journal of Banking & Finance 84, 25-40, 2017
4662017
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
1622017
Twitter-derived measures of economic uncertainty
SR Baker, N Bloom, S Davis, T Renault
Working paper 13, 1-14, 2021
1262021
Does investor sentiment on social media provide robust information for Bitcoin returns predictability?
D Guégan, T Renault
Finance Research Letters 38, 101494, 2021
1232021
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
1142020
Nonstandard errors
AJ Menkveld, A Dreber, F Holzmeister, J Huber, M Johannesson, ...
The Journal of Finance 79 (3), 2339-2390, 2024
662024
& Thwaites, G.(2020). Economic uncertainty before and during the COVID-19 pandemic
D Altig, S Baker, JM Barrero, N Bloom, P Bunn, S Chen, S Davis, ...
Journal of Public Economics 191 (104274), 7, 0
58
What Makes Cryptocurrencies Special? Investor Sentiment and Return Predictability
CYH Chen, L Guo, T Renault
Investor Sentiment and Return Predictability (June 3, 2019), 2019
562019
Social distancing beliefs and human mobility: Evidence from Twitter
S Porcher, T Renault
PLoS One 16 (3), e0246949, 2021
512021
Market manipulation and suspicious stock recommendations on social media
T Renault
Available at SSRN 3010850, 2017
452017
Media sentiment on monetary policy: Determinants and relevance for inflation expectations
M Picault, J Pinter, T Renault
Journal of International Money and Finance 124, 102626, 2022
372022
The usual suspects: Offender origin, media reporting and natives’ attitudes towards immigration
S Keita, T Renault, J Valette
The Economic Journal 134 (657), 322-362, 2024
192024
Economic uncertainty in the wake of the COVID-19 pandemic
D Altig, S Baker, J Barrero, N Bloom, P Bunn, S Chen, S Davis, J Leather, ...
VoxEU. org 24, 2020
192020
Nowcasting GDP growth by reading newspapers
C Bortoli, S Combes, T Renault
Economie et Statistique 505 (1), 17-33, 2018
162018
Economic uncertainty measures derived from Twitter
SB Baker, N Bloom, SJ Davis, T Renault
Department of Economics, Stanford University, 2020
142020
Monnaie, banques, finance
J Couppey-Soubeyran
HAL Post-Print, 2010
122010
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
52019
Comment prévoir l’emploi en lisant le journal
C Bortoli, S Combes, T Renault
Note de conjoncture, INSEE, mars, 35-43, 2017
32017
Collaboratively adding context to social media posts reduces the sharing of false news
T Renault, DR Amariles, A Troussel
arXiv preprint arXiv:2404.02803, 2024
22024
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