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1
Sentiment trading with large language models
Kirtac, Kemal
;
Germano, Guido
- In:
Finance research letters
62
(
2024
)
2
,
pp. 1-9
Persistent link: https://www.econbiz.de/10014531181
Saved in:
2
Thus spoke GPT-3 : interviewing a large-language model on climate finance
Leippold, Markus
- In:
Finance research letters
53
(
2023
),
pp. 1-4
Persistent link: https://www.econbiz.de/10014472375
Saved in:
3
A text-based managerial climate attention index of listed firms in China
Lei, Lei
;
Zhang, Dayong
;
Ji, Qiang
;
Guo, Kun
;
Wu, Fei
- In:
Finance research letters
55
(
2023
)
1
,
pp. 1-7
Persistent link: https://www.econbiz.de/10014473292
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4
Severe weather and peer-to-peer farmers' loan default predictions : evidence from machine learning analysis
Gao, Wei
;
Ju, Ming
;
Yang, Tongyang
- In:
Finance research letters
58
(
2023
)
1
,
pp. 1-7
Persistent link: https://www.econbiz.de/10014580296
Saved in:
5
Populism
and financial markets
Hartwell, Christopher A.
- In:
Finance research letters
46
(
2022
)
2
,
pp. 1-10
Persistent link: https://www.econbiz.de/10013341867
Saved in:
6
Are investors afraid of
populism
?
Schütz, Claudio
;
Pape, Ulrich
- In:
Finance research letters
61
(
2024
),
pp. 1-10
Persistent link: https://www.econbiz.de/10014491025
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7
A reality check on trading rule performance in the cryptocurrency market : Machine learning vs. technical analysis
Anghel, Dan-Gabriel
- In:
Finance research letters
39
(
2021
),
pp. 1-8
Persistent link: https://www.econbiz.de/10012805500
Saved in:
8
The depreciation of the pound post-Brexit : could it have been predicted?
Plakandaras, Vasilios
;
Gupta, Rangan
;
Wohar, Mark E.
- In:
Finance research letters
21
(
2017
),
pp. 206-213
Persistent link: https://www.econbiz.de/10011807781
Saved in:
9
The role of investor attention in predicting stock prices : the long short-term memory networks perspective
Zhang, Yongjie
;
Chu, Gang
;
Shen, Dehua
- In:
Finance research letters
38
(
2021
),
pp. 1-11
Persistent link: https://www.econbiz.de/10012487952
Saved in:
10
Beyond risk parity : a machine learning-based hierarchical risk parity approach on cryptocurrencies
Burggraf, Tobias
- In:
Finance research letters
38
(
2021
),
pp. 1-9
Persistent link: https://www.econbiz.de/10012490565
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