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1
Learning about unprecedented events : agent-based modelling and the stock market impact of COVID-19
Bazzana, Davide
;
Colturato, Michele
;
Savona, Roberto
- In:
Finance research letters
56
(
2023
),
pp. 1-8
Persistent link: https://www.econbiz.de/10014473609
Saved in:
2
Explainable artificial intelligence and economic panel data : a study on
volatility
spillover along the supply chains
Berger, Theo
- In:
Finance research letters
54
(
2023
),
pp. 1-6
Persistent link: https://www.econbiz.de/10014472730
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3
Pricking asset market bubbles
Schmitt, Noemi
;
Westerhoff, Frank H.
- In:
Finance research letters
38
(
2021
),
pp. 1-6
Persistent link: https://www.econbiz.de/10012485766
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4
Sentiment dynamics and
volatility
: a study based on GARCH-MIDAS and machine learning
Riso, Luigi
;
Vacca, Gianmarco
- In:
Finance research letters
62
(
2024
)
2
,
pp. 1-12
Persistent link: https://www.econbiz.de/10014531171
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5
The generalized Vasicek credit risk model : a machine learning approach
García-Céspedes, Rubén
;
Moreno, Manuel
- In:
Finance research letters
47
(
2022
)
1
,
pp. 1-7
Persistent link: https://www.econbiz.de/10013459154
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6
Fan charts in era of big data and learning
Baruník, Jozef
;
Hanus, Luboš
- In:
Finance research letters
61
(
2024
),
pp. 1-7
Persistent link: https://www.econbiz.de/10014490768
Saved in:
7
Deep learning and technical analysis in cryptocurrency market
Goutte, Stéphane
;
Le, Hoang-Viet
;
Liu, Fei
; …
- In:
Finance research letters
54
(
2023
),
pp. 1-11
Persistent link: https://www.econbiz.de/10014472779
Saved in:
8
Distribution uncertainty and expected stock returns
Chae, Joon
;
Lee, Eun Jung
- In:
Finance research letters
25
(
2018
),
pp. 55-61
Persistent link: https://www.econbiz.de/10012003434
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9
Heterogeneous beliefs and diversification discount
Tong, Zhuoyuan
;
Wei, Xu
- In:
Finance research letters
27
(
2018
),
pp. 148-153
Persistent link: https://www.econbiz.de/10012006831
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10
Business cycle, expected return and momentum payoffs
Chen, Jiun-Lin (Alex)
;
Hwang, Hyoseok (David)
- In:
Finance research letters
29
(
2019
),
pp. 83-89
Persistent link: https://www.econbiz.de/10012417954
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