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Year of publication
Subject
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Theorie 5 Theory 5 Forecasting model 3 Prognoseverfahren 3 Artificial intelligence 2 Börsenkurs 2 Handelsvolumen der Börse 2 Künstliche Intelligenz 2 LSTM networks 2 Learning process 2 Lernprozess 2 Neural networks 2 Neuronale Netze 2 Securities trading 2 Share price 2 Time series analysis 2 Trading volume 2 Wertpapierhandel 2 Zeitreihenanalyse 2 long short-term memory (LSTM) networks 2 optimal execution 2 order books 2 price impact 2 trading volume 2 ARIMA 1 Autoencoders 1 Automatic differentiation 1 Bewertung 1 Bilinear models 1 Consumer behaviour 1 Convolutional neural networks (CNN) 1 ConvolutionalNetworks 1 Customer satisfaction 1 Data Mining 1 Data mining 1 Deep Learning 1 Deep learning 1 Distribution channel 1 Dynamic computational graphs 1 Einzelhandel 1
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Online availability
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Undetermined 4 Free 3 CC license 1
Type of publication
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Article 5 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Working Paper 2
Language
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English 7
Author
All
Fu, Hao 2 Healy, Brian 2 Khorrami, Farshad 2 Papanicolaou, Andrew 2 Chakraborty, Ishita 1 El Himdi, Khalid 1 El Melhaoui, Said 1 El Yahyaoui, Mohamed 1 Faizi, Moustapha 1 Guerbaz, Raby 1 Guillén, Diogo Abry 1 Kim, Minkyung 1 Krishnamurthy, Prasanth 1 Krishnamurthy, Prashanth 1 Litsiou, Konstantia 1 Lmakri, Aziz 1 Lopes, Hedibert Freitas 1 Madaan, Jitendra K. 1 Nikolopoulos, Konstantinos I. 1 Oukhouya, Hassan 1 Punia, Sushil 1 Singh, Surya Prakash 1 Smyl, Slawek 1 Sudhir, K. 1 Theoharidis, Alexandre Fernandes 1
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Published in...
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Cowles Foundation discussion paper 1 Future business journal 1 International journal of forecasting 1 International journal of production research 1 The journal of computational finance 1 The journal of computational finance : JFC 1 [Insper working papers] 1
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Source
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ECONIS (ZBW) 7
Showing 1 - 7 of 7
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Predictive modeling for the Moroccan financial market : a nonlinear time series and deep learning approach
Oukhouya, Hassan; Lmakri, Aziz; El Yahyaoui, Mohamed; … - In: Future business journal 11 (2025) 1, pp. 1-19
autoregressive integrated moving average (ARIMA), bilinear models and long short-term memory (LSTM) networks. Predictive modeling is …
Persistent link: https://www.econbiz.de/10015613471
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Deep learning models for inflation forecasting
Theoharidis, Alexandre Fernandes; Guillén, Diogo Abry; … - 2022
Persistent link: https://www.econbiz.de/10013337509
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An optimal control strategy for execution of large stock orders using long short-term memory networks
Papanicolaou, Andrew; Fu, Hao; Krishnamurthy, Prasanth; … - In: The journal of computational finance : JFC 26 (2023) 4, pp. 37-65
Persistent link: https://www.econbiz.de/10014486884
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An optimal control strategy for execution of large stock orders using long short-term memory networks
Papanicolaou, Andrew; Fu, Hao; Krishnamurthy, Prashanth; … - In: The journal of computational finance 26 (2023) 4, pp. 37-65
Persistent link: https://www.econbiz.de/10014342063
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Attribute sentiment scoring with online text reviews : accounting for language structure and attribute self-selection
Chakraborty, Ishita; Kim, Minkyung; Sudhir, K. - 2019
Persistent link: https://www.econbiz.de/10012053024
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Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail
Punia, Sushil; Nikolopoulos, Konstantinos I.; Singh, … - In: International journal of production research 58 (2020) 16, pp. 4964-4979
Persistent link: https://www.econbiz.de/10012266114
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A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting
Smyl, Slawek - In: International journal of forecasting 36 (2020) 1, pp. 75-85
Persistent link: https://www.econbiz.de/10012405910
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