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1
Bayesian forecasting of US recessions using new Keynesian models with heterogeneous expectations
Elias, Christopher J.
- In:
Applied economics letters
30
(
2023
)
9
,
pp. 1218-1221
Persistent link: https://www.econbiz.de/10014303846
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2
Robust newsvendor problem with autoregressive demand
Carrizosa, Emilio
;
Olivares-Nadal, Alba V.
; …
- In:
Computers & operations research : and their …
68
(
2016
),
pp. 123-133
Persistent link: https://www.econbiz.de/10011442377
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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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Long-run expectations in a learning-to-forecast experiment
Colasante, Annarita
;
Alfarano, Simone
;
Camacho-Cuena, Eva
; …
- In:
Applied economics letters
25
(
2018
)
10
,
pp. 681-687
Persistent link: https://www.econbiz.de/10012129794
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5
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
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6
Does inclusion of GARCH variance in deep learning models improve financial contagion prediction?
Rayadurgam, Vikram Chandramouli
;
Mangalagiri, Jayasree
- In:
Finance research letters
54
(
2023
),
pp. 1-9
Persistent link: https://www.econbiz.de/10014472648
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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
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8
Robust forecasting with scaled independent component analysis
Shu, Lei
;
Lu, Feiyang
;
Chen, Yu
- In:
Finance research letters
51
(
2023
),
pp. 1-8
Persistent link: https://www.econbiz.de/10014286507
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9
Forecasting the price of Bitcoin using deep learning
Liu, Mingxi
;
Li, Guowen
;
Li, Jianping
;
Zhu, Xiaoqian
; …
- In:
Finance research letters
40
(
2021
),
pp. 1-8
Persistent link: https://www.econbiz.de/10012819967
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10
Improving econometric prediction by machine learning
Cerulli, Giovanni
- In:
Applied economics letters
28
(
2021
)
16
,
pp. 1419-1425
Persistent link: https://www.econbiz.de/10012609694
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