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Computational economics
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Predict stock prices using supervised learning algorithms and particle swarm optimization algorithm
Bazrkar, Mohammad Javad
;
Hosseini, Soodeh
- In:
Computational economics
62
(
2023
)
1
,
pp. 165-186
Persistent link: https://www.econbiz.de/10014327292
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2
Predicting stock price using two-stage machine learning techniques
Zhang, Jun
;
Li, Lan
;
Chen, Wei
- In:
Computational economics
57
(
2021
)
4
,
pp. 1237-1261
Persistent link: https://www.econbiz.de/10012543291
Saved in:
3
Prediction of unemployment rates with time series and machine learning techniques
Katris, Christos
- In:
Computational economics
55
(
2020
)
2
,
pp. 673-706
Persistent link: https://www.econbiz.de/10012223659
Saved in:
4
The determinants of Bitcoin's price : utilization of garch and machine learning approaches
Chen, Ting-Hsuan
;
Chen, Muyan
;
Du, Guan-Ting
- In:
Computational economics
57
(
2021
)
1
,
pp. 267-280
Persistent link: https://www.econbiz.de/10012486899
Saved in:
5
Gold against the machine
Plakandaras, Vasilios
;
Gkonkas, Periklēs
; …
- In:
Computational economics
57
(
2021
)
1
,
pp. 5-28
Persistent link: https://www.econbiz.de/10012486908
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6
Forecasting inflection points : hybrid methods with multiscale machine learning algorithms
Chevallier, Julien
;
Zhu, Bangzhu
;
Zhang, Lyuyuan
- In:
Computational economics
57
(
2021
)
2
,
pp. 537-575
Persistent link: https://www.econbiz.de/10012486931
Saved in:
7
Applying independent component analysis and predictive systems for algorithmic trading
Ceffer, Attila
;
Levendovszky, Janos
;
Fogarasi, Norbert
- In:
Computational economics
54
(
2019
)
1
,
pp. 281-303
Persistent link: https://www.econbiz.de/10012134161
Saved in:
8
Forecasting US unemployment with radial basis neural networks, Kalman filters and support vector regressions
Stasinakis, Charalampos
;
Sermpinis, Georgios
; …
- In:
Computational economics
47
(
2016
)
4
,
pp. 569-587
Persistent link: https://www.econbiz.de/10011712477
Saved in:
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