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~person:"Ślepaczuk, Robert"
~subject:"Portfolio selection"
~type_genre:"Arbeitspapier"
~type_genre:"Aufsatzsammlung"
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Ślepaczuk, Robert
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Enhanced index replication based on smart beta and tail-risk asset allocation
Korzeń, Kamil
;
Ślepaczuk, Robert
-
2021
Persistent link: https://www.econbiz.de/10012816699
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2
Applying hybrid ARIMA-SGARCH in algorithmic investment strategies on S&P 500 Index
Nguyen Vo
;
Ślepaczuk, Robert
-
2021
Persistent link: https://www.econbiz.de/10012816706
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3
The profitability of pairs trading strategies on Hong-Kong stock market : distance, cointegration, and correlation methods
Ma, Baiquan
;
Ślepaczuk, Robert
-
2022
Persistent link: https://www.econbiz.de/10012816711
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4
Applying hurst exponent in pair trading strategies
Quynh Bui
;
Ślepaczuk, Robert
-
2020
Persistent link: https://www.econbiz.de/10012322277
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5
LSTM-ARIMA as a hybrid approach in algorithmic investment strategies
Kashif, Kamil
;
Ślepaczuk, Robert
-
2024
Persistent link: https://www.econbiz.de/10014634690
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6
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
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7
The efficiency of various types of input layers of LSTM model in investment strategies on S&P500 index
Thi Thu Giang Nguyen
;
Ślepaczuk, Robert
-
2022
Persistent link: https://www.econbiz.de/10013474013
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8
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
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9
Ensembling ARIMAX model in algorithmic investment strategies on commodities market
Jakubowski, Paweł
;
Ślepaczuk, Robert
;
Windorbski, …
-
2023
Persistent link: https://www.econbiz.de/10014448210
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10
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
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