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~subject:"Prognose"
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Computational economics
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ECONIS (ZBW)
7
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1
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
Predicting natural gas prices based on a novel hybrid model with variational mode decomposition
Lu, Qin
;
Liao, Jingwen
;
Chen, Kechi
;
Liang, Yanhui
;
Lin, Yu
- In:
Computational economics
63
(
2024
)
2
,
pp. 639-678
Persistent link: https://www.econbiz.de/10014472537
Saved in:
4
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:
5
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:
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:
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