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LSTM-ARIMA as a hybrid approach in algorithmic investment strategies
Kashif, Kamil
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Ślepaczuk, Robert
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2024
Persistent link: https://www.econbiz.de/10014634690
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The performance of time series forecasting based on classical and machine learning methods for S&P 500 index
Uzzal, Maudud Hassan
;
Ślepaczuk, Robert
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2023
Persistent link: https://www.econbiz.de/10014305886
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3
A comparison of LSTM and GRU architectures with novel walk-forward approach to algorithmic investment strategy
Baranochnikov, Illia
;
Ślepaczuk, Robert
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2022
Persistent link: https://www.econbiz.de/10013473692
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4
Daily and intraday application of various architectures of the LSTM model in algorithmic investment strategies on Bitcoin and the S&P 500 Index
Kryńska, Katarzyna
;
Ślepaczuk, Robert
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2022
Persistent link: https://www.econbiz.de/10013473995
Saved in:
5
The efficiency of various types of input layers of LSTM model in investment strategies on S&P500 index
Thi Thu Giang Nguyen
;
Ślepaczuk, Robert
-
2022
Persistent link: https://www.econbiz.de/10013474013
Saved in:
6
GARCHNet - Value-at-Risk forecasting with novel approach to GARCH models based on neural networks
Buczyński, Mateusz
;
Chlebus, Marcin
-
2021
Persistent link: https://www.econbiz.de/10012795155
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