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isPartOf:"Applications of artificial intelligence in finance and economics"
~isPartOf:"Working papers"
~subject:"recurrent neural networks"
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recurrent neural networks
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Applications of artificial intelligence in finance and economics
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ECONIS (ZBW)
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Mean absolute directional loss as a new loss function for machine learning problems in algorithmic investment strategies
Michańków, Jakub
;
Sakowski, Paweł
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014448222
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Hedging properties of algorithmic investment strategies using long short-term memory and time series models for equity indices
Michańków, Jakub
;
Sakowsk, Paweł
;
Ślepaczuk, Robert
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2023
Persistent link: https://www.econbiz.de/10014448237
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3
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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4
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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5
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
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6
The efficiency of various types of input layers of LSTM model in investment strategies on S&P500 index
Thi Thu Giang Nguyen
;
Ślepaczuk, Robert
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2022
Persistent link: https://www.econbiz.de/10013474013
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7
Predicting prices of S&P500 index using classical methods and recurrent neural networks
Kijewskia, Mateusz
;
Ślepaczuk, Robert
-
2020
Persistent link: https://www.econbiz.de/10012322224
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