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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
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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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Fractional differentiation and its use in machine learning
Gajda, Janusz; Walasek, Rafał - 2020
Persistent link: https://www.econbiz.de/10012322246
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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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The performance of time series forecasting based on classical and machine learning methods for S&P 500 index
Uzzal, Maudud Hassan; Ślepaczuk, Robert - 2023
Persistent link: https://www.econbiz.de/10014305886
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A scoring rule for factor and autoregressive models under misspecification
Casarin, Roberto; Corradin, Fausto; Ravazzolo, Francesco; … - 2018
Persistent link: https://www.econbiz.de/10011956868
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Optimal markowitz portfolio using returns forecasted with time series and machine learning models
Ślusarczyk, Damian; Ślepaczuk, Robert - 2023
Persistent link: https://www.econbiz.de/10014446491