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Neuronale Netze als Hilfsmitte...
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Applied economics letters
The accounting review : a publication of the American Accounting Association
111
Finance research letters
107
International review of financial analysis
107
International journal of forecasting
105
Wiley trading series
97
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96
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75
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71
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66
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64
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Risks : open access journal
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53
Journal of business finance & accounting : JBFA
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51
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48
NBER Working Paper
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The European journal of finance
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Applied financial economics
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International review of economics & finance : IREF
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Research in international business and finance
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Europäische Hochschulschriften / 5
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ECONIS (ZBW)
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1
On the approximation of production functions : a comparison of artificial neural networks frontiers and efficiency techniques
Santin, Daniel
- In:
Applied economics letters
15
(
2008
)
7/9
,
pp. 597-600
Persistent link: https://www.econbiz.de/10003741371
Saved in:
2
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
Saved in:
3
A hybrid approach based on neural networks and genetic algorithms to the study of profitability in the Spanish stock market
Matilla-Garcia, Mariano
;
Argüello, Carlos
- In:
Applied economics letters
12
(
2005
)
5
,
pp. 303-308
Persistent link: https://www.econbiz.de/10002753369
Saved in:
4
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:
5
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
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6
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:
7
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:
8
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:
9
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:
10
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
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