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~isPartOf:"Computational economics"
~subject:"Börsenkurs"
~subject:"Neuronales Netz"
~subject:"Portfolio-Management"
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Börsenkurs
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Ceffer, A.
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Computational economics
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ECONIS (ZBW)
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A new neural network approach for predicting the volatility of stock market
Koo, Eunho
;
Kim, Geonwoo
- In:
Computational economics
61
(
2023
)
4
,
pp. 1665-1679
Persistent link: https://www.econbiz.de/10014327101
Saved in:
2
Reconstructing the emergent organization of information flows in international stock markets : a computational complex systems approach
Buscema, Massimo
;
Della Torre, Francesca
;
Massini, Giulia
; …
- In:
Computational economics
62
(
2023
)
1
,
pp. 49-89
Persistent link: https://www.econbiz.de/10014327224
Saved in:
3
Towards crafting optimal functional link artificial neural networks with Rao algorithms for stock closing prices prediction
Das, Subhranginee
;
Nayak, Sarat
;
Sahoo, Biswajit
- In:
Computational economics
60
(
2022
)
1
,
pp. 1-23
Persistent link: https://www.econbiz.de/10013262417
Saved in:
4
Swarm intelligence based hybrid neural network approach for stock price forecasting
Kumar, Gourav
;
Singh, Uday Pratap
;
Jain, Sanjeev
- In:
Computational economics
60
(
2022
)
3
,
pp. 991-1039
Persistent link: https://www.econbiz.de/10013380863
Saved in:
5
Multi-factor RFG-LSTM algorithm for stock sequence predicting
Su, Zhi
;
Xie, Heliang
;
Han, Lu
- In:
Computational economics
57
(
2021
)
4
,
pp. 1041-1058
Persistent link: https://www.econbiz.de/10012543252
Saved in:
6
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:
7
Low complexity algorithmic trading by feedforward neural networks
Levendovszky, J.
;
Reguly, I.
;
Olah, A.
;
Ceffer, A.
- In:
Computational economics
54
(
2019
)
1
,
pp. 267-279
Persistent link: https://www.econbiz.de/10012134157
Saved in:
8
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
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