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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
-
2023
Persistent link: https://www.econbiz.de/10014448237
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2
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
Comparison of the accuracy in VaR forecasting for commodities using different methods of combining forecasts
Lis, Szymon
;
Chlebus, Marcin
-
2021
Persistent link: https://www.econbiz.de/10012795166
Saved in:
4
Application of machine learning in quantitative investment strategies on global stock markets
Grudniewicz, Jan
;
Ślepaczuk, Robert
-
2021
Persistent link: https://www.econbiz.de/10012816704
Saved in:
5
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
Saved in:
6
Fractional differentiation and its use in machine learning
Gajda, Janusz
;
Walasek, Rafał
-
2020
Persistent link: https://www.econbiz.de/10012322246
Saved in:
7
A comparison of credit scoring techniques in Peer-to-Peer lending
Dzik-Walczak, Aneta
;
Heba, Mateusz
-
2019
Persistent link: https://www.econbiz.de/10012196591
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