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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
Use of econometric predictors and artificial neural networks for the construction of stock market investment bots
Nametala, Ciniro A. L.
;
Souza, Jonas Villela de
; …
- In:
Computational economics
61
(
2023
)
2
,
pp. 743-773
Persistent link: https://www.econbiz.de/10014228461
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
A machine learning approach to detection of trade-based manipulations in Borsa Istanbul
Uslu, Nurullah Celal
;
Akal, Fuat
- In:
Computational economics
60
(
2022
)
1
,
pp. 25-45
Persistent link: https://www.econbiz.de/10013262418
Saved in:
6
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:
7
Predicting stock price falls using news data : evidence from the Brazilian market
Duarte, Juvenal José
;
González, Sahudy Montenegro
; …
- In:
Computational economics
57
(
2021
)
1
,
pp. 311-340
Persistent link: https://www.econbiz.de/10012486910
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