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~person:"May, Constantin"
~person:"White, Halbert"
~person:"Ślepaczuk, Robert"
~subject:"ARCH model"
~subject:"Learning process"
~subject:"Nichtlineares Verfahren"
~subject:"Theorie"
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Search: subject_exact:"Neuronale Netze"
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Nichtlineares Verfahren
Theorie
Neuronale Netze
43
Neural networks
41
Theory
26
Prognoseverfahren
20
Forecasting model
19
Neuronales Netz
14
Portfolio selection
10
Portfolio-Management
10
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9
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machine learning
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Optionspreistheorie
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algorithmic investment strategies
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deep learning
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May, Constantin
White, Halbert
Ślepaczuk, Robert
Fischer, Manfred M.
16
Kapetanios, George
16
Medeiros, Marcelo C.
15
Anders, Ulrich
14
Hruschka, Harald
12
Blake, Andrew P.
11
Gottschling, Andreas
11
Häfke, Christian
10
Baetge, Jörg
9
Dunis, Christian
9
Giovanis, Eleftherios
9
Rech, Gianluigi
9
Wuthrich, Mario V.
9
Claveria, Oscar
8
Dijk, Herman K. van
8
Franses, Philip Hans
8
Nijkamp, Peter
8
Reggiani, Aura
8
Richman, Ronald
8
Sermpinis, Georgios
8
Torra, Salvador
8
Xu, Xiaojie
8
Zhang, Yun
8
Corsten, Hans
7
Fernández-Villaverde, Jesús
7
Jeong, Kiho
7
Korn, Olaf
7
Maliar, Lilia
7
Maliar, Serguei
7
Nuño, Galo
7
Teräsvirta, Timo
7
Wiedmann, Klaus-Peter
7
Wüthrich, Mario V.
7
Zhang, Ming
7
Chen, Shiyi
6
Helmenstein, Christian
6
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10
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Neuronale Netze in der Betriebswirtschaft : Anwendung in Prognose, Klassifikation und Optimierung ; ein Reader
2
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2
Betriebswirtschaftliche Anwendungen des Soft Computing : neuronale Netze, Fuzzy-Systeme und evolutionäre Algorithmen
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ECONIS (ZBW)
32
EconStor
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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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2
The hybrid forecast of S&P 500 volatility ensembled from VIX, GARCH and LSTM models
Roszyk, Natalia
;
Ślepaczuk, Robert
-
2024
Persistent link: https://www.econbiz.de/10014634883
Saved in:
3
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:
4
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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5
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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6
Ensembled LSTM with walk forward optimization in algorithmic trading
Chojnacki, Karol
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014308890
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7
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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8
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
Saved in:
9
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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10
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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