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Applied economics letters
International journal of forecasting
82
International journal of production research
71
Computational economics
60
Journal of forecasting
54
Risks : open access journal
45
European journal of operational research : EJOR
41
Journal of risk and financial management : JRFM
38
Decision analytics journal
34
Technological forecasting & social change : an international journal
33
Quantitative finance
31
Energy economics
25
Europäische Hochschulschriften / 5
23
International journal of business information systems : IJBIS
22
Journal of information & knowledge management : JIKM
22
Computer Science Preprint Archive
21
International journal of production economics
21
International journal of networking and virtual organisations : IJNVO
20
Computers & operations research : and their applications to problems of world concern ; an international journal
19
International Journal of Energy Economics and Policy : IJEEP
19
Working papers
19
Research in international business and finance
18
Financial innovation : FIN
16
Journal of economic dynamics & control
16
Journal of modelling in management
16
Discussion paper / Tinbergen Institute
15
International journal of productivity and quality management : IJPQM
15
Journal of business research : JBR
15
Working paper
15
Journal of the Operational Research Society
14
The European journal of finance
14
Intelligent systems in accounting finance and management : international journal
13
International journal of economics and finance
13
International review of financial analysis
13
Journal of econometrics
13
Journal of retailing and consumer services
13
Transportation research / E : an international journal
13
Discussion paper
12
Discussion papers / CEPR
12
Economic modelling
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ECONIS (ZBW)
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1
Forecasting cryptocurrencies' price with the financial stress index : a graph neural network prediction strategy
Yin, Wei
;
Chen, Ziling
;
Luo, Xinxin
;
Kirkulak-Uludag, Berna
- In:
Applied economics letters
31
(
2024
)
7
,
pp. 630-639
Persistent link: https://www.econbiz.de/10014557817
Saved in:
2
Predicting money laundering sanctions using machine learning algorithms and artificial neural networks
Lokanan, Mark E.
- In:
Applied economics letters
31
(
2024
)
12
,
pp. 1112-1118
Persistent link: https://www.econbiz.de/10014558696
Saved in:
3
LASSO-based high-frequency return predictors for profitable Bitcoin investment
Huang, Weige
;
Gao, Xiang
- In:
Applied economics letters
29
(
2022
)
12
,
pp. 1079-1083
Persistent link: https://www.econbiz.de/10013412041
Saved in:
4
An evaluation of the effectiveness of three early-warning models on financial indexes
He, Yumei
;
Xu, Xinyi
;
Cai, Yuewen
;
Cheng, Mengya
- In:
Applied economics letters
29
(
2022
)
20
,
pp. 1880-1884
Persistent link: https://www.econbiz.de/10013412324
Saved in:
5
Analysis of investors' prediction potential using Holt Winters model and artificial neural networks
Dungore, Parizad Phiroze
- In:
Applied economics letters
29
(
2022
)
21
,
pp. 2032-2039
Persistent link: https://www.econbiz.de/10013552916
Saved in:
6
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
Saved in:
7
How words matter : machine learning & movie success
Nemzer, Louis R.
;
Neymotin, Florence
- In:
Applied economics letters
27
(
2020
)
15
,
pp. 1272-1276
Persistent link: https://www.econbiz.de/10012267121
Saved in:
8
Can machine learning on economic data better forecast the unemployment rate?
Kreiner, Aaron
;
Duca, John V.
- In:
Applied economics letters
27
(
2020
)
17
,
pp. 1434-1437
Persistent link: https://www.econbiz.de/10012313923
Saved in:
9
Conditional density forecast of China's energy demand via QRNN model
Cao, Shubo
;
Xu, Qifa
;
Jiang, Cuixia
;
He, Yaoyao
- In:
Applied economics letters
25
(
2018
)
12
,
pp. 867-875
Persistent link: https://www.econbiz.de/10012130465
Saved in:
10
Combination forecasts of tourism demand with machine learning models
Claveria, Oscar
;
Monte, Enric
;
Torra, Salvador
- In:
Applied economics letters
23
(
2016
)
4/6
,
pp. 428-431
Persistent link: https://www.econbiz.de/10011430763
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