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~isPartOf:"Computers & operations research : and their applications to problems of world concern ; an international journal"
~isPartOf:"Transportation research / E : an international journal"
~isPartOf:"Working papers"
~subject:"ARCH model"
~subject:"Aktienindex"
~subject:"Electronic trading"
~type_genre:"Non-commercial literature"
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Ensembled LSTM with walk forward optimization in algorithmic trading
Chojnacki, Karol
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Ślepaczuk, Robert
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2023
Persistent link: https://www.econbiz.de/10014308890
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2
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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3
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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4
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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5
GARCHNet - Value-at-Risk forecasting with novel approach to GARCH models based on neural networks
Buczyński, Mateusz
;
Chlebus, Marcin
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2021
Persistent link: https://www.econbiz.de/10012795155
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6
Comparison of the accuracy in VaR forecasting for commodities using different methods of combining forecasts
Lis, Szymon
;
Chlebus, Marcin
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2021
Persistent link: https://www.econbiz.de/10012795166
Saved in:
7
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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8
Artificial Neural Networks Performance in WIG20 Index Options Pricing
Wysockia, Maciej
;
Ślepaczuk, Robert
-
2020
Persistent link: https://www.econbiz.de/10012322176
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