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~isPartOf:"Journal of time series econometrics"
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~subject:"ARCH model"
~subject:"Algorithmus"
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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
Saved in:
2
Ensembled LSTM with walk forward optimization in algorithmic trading
Chojnacki, Karol
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014308890
Saved in:
3
A comparison of LSTM and GRU architectures with novel walk-forward approach to algorithmic investment strategy
Baranochnikov, Illia
;
Ślepaczuk, Robert
-
2022
Persistent link: https://www.econbiz.de/10013473692
Saved in:
4
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
-
2022
Persistent link: https://www.econbiz.de/10013473995
Saved in:
5
GARCHNet - Value-at-Risk forecasting with novel approach to GARCH models based on neural networks
Buczyński, Mateusz
;
Chlebus, Marcin
-
2021
Persistent link: https://www.econbiz.de/10012795155
Saved in:
6
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:
7
Forecasting with universal approximators and a learning algorithm
Kock, Anders Bredahl
- In:
Journal of time series econometrics
3
(
2011
)
3
,
pp. 1-30
Persistent link: https://www.econbiz.de/10009623564
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