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~subject:"Neuronale Netze"
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Mean absolute directional loss as a new loss function for machine learning problems in algorithmic investment strategies
Michańków, Jakub
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Sakowski, Paweł
;
Ślepaczuk, Robert
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2023
Persistent link: https://www.econbiz.de/10014448222
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Investment portfolio optimization based on modern portfolio theory and deep learning models
Wysocki, Maciej
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Sakowski, Paweł
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2022
Persistent link: https://www.econbiz.de/10013473216
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Artificial Neural Networks Performance in WIG20 Index Options Pricing
Wysockia, Maciej
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Ślepaczuk, Robert
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2020
Persistent link: https://www.econbiz.de/10012322176
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Predicting prices of S&P500 index using classical methods and recurrent neural networks
Kijewskia, Mateusz
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Ślepaczuk, Robert
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2020
Persistent link: https://www.econbiz.de/10012322224
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Application of machine learning in quantitative investment strategies on global stock markets
Grudniewicz, Jan
;
Ślepaczuk, Robert
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2021
Persistent link: https://www.econbiz.de/10012816704
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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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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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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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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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Application of machine learning in algorithmic investment strategies on global stock markets
Grudniewicz, Jan
;
Ślepaczuk, Robert
- In:
Research in international business and finance
66
(
2023
),
pp. 1-24
Persistent link: https://www.econbiz.de/10014463386
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