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  • Search: subject:"neural network model"
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Year of publication
Subject
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Neuronale Netze 21 Neural networks 20 Theorie 12 Theory 12 Forecasting model 11 Prognoseverfahren 11 Neural network model 8 neural network model 6 ARMA model 3 ARMA-Modell 3 Artificial Neural Network Model 3 Capital income 3 China 3 Kapitaleinkommen 3 Zeitreihenanalyse 3 forecast combination 3 forecast evaluation 3 nonlinear modelling 3 Artificial intelligence 2 Börsenkurs 2 CAPM 2 Earnings Management 2 Estimation 2 Exchange rate 2 Financial Ratios 2 Künstliche Intelligenz 2 LSTM neural network model 2 Lieferkette 2 Oil price 2 Regression analysis 2 Regressionsanalyse 2 Risiko 2 Risk 2 Schätzung 2 Share price 2 Simulation 2 Supply chain 2 Time series analysis 2 Volatility 2 Volatilität 2
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Online availability
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Undetermined 19 Free 9 CC license 2
Type of publication
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Article 27 Book / Working Paper 4 Other 1
Type of publication (narrower categories)
All
Article in journal 20 Aufsatz in Zeitschrift 20 Working Paper 1
Language
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English 22 Undetermined 10
Author
All
Teräsvirta, Timo 3 Benli, Yasemin Keskin 2 Kuçukkocaoglu, Guray 2 Kuçuksozen, Cemal 2 van Dijk, Dick 2 Anh Ngoc Quang Huynh 1 Ayyanathan, N. 1 Battu, Balaraju 1 Becker, Till 1 Ben Sassi, Salim 1 Birajdar, Ganesh S. 1 Chandrasekhar Pammi, V. S. 1 Chang, Yoosoon 1 Chen, Chia-Chen 1 Chen, Chung-Chi 1 Chen, Xun-Qi 1 Clymer, David 1 Dijk, Dick van 1 Effati, Sohrab 1 Eshaghnezhad, Mohammad 1 Feng, Chen 1 Goo, Yeong-Jia 1 He, Kaijian 1 Huang, Yu-lieh 1 Hülsmann, Michael 1 Illigen, Christoph 1 Jaiswal, Krishnavtar 1 Kannammal, A. 1 Kmiecik, Mariusz 1 Kusiak, Andrew 1 Larson, Nick 1 Lee, Chien-Pang 1 Lei, Yu-Tian 1 Leu, Yungho 1 Li, Wen-kai 1 Liang, Yucong 1 Lin, Wen-Bao 1 Liu, Chang 1 Liu, Dehong 1 Liu, Jia 1
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Institution
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Departamento de Economia, Pontifícia Universidade Católica do Rio de Janeiro 1 Economics Institute for Research (SIR), Handelshögskolan i Stockholm 1 Institute for Economic Research, Division of Economics 1
Published in...
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Energy economics 2 International review of economics & finance : IREF 2 Istanbul Stock Exchange Review 2 Natural Hazards 2 Energy strategy reviews 1 Finance research letters 1 Financial innovation : FIN 1 Fuzzy optimization and decision making : a journal of modeling and computation under uncertainty 1 Intelligent systems in accounting, finance & management 1 International journal of logistics systems and management 1 International journal of production economics 1 International journal of social economics 1 Inventi impact: international trade 1 Investment management and financial innovations 1 Journal for Economic Forecasting 1 Journal of sustainable finance & investment 1 Journal of the Operational Research Society 1 LogForum : elektroniczne czasopismo naukowe z dziedziny logistyki 1 Modern economy 1 Pacific accounting review 1 Quality & Quantity: International Journal of Methodology 1 Quantitative Finance 1 SSE/EFI Working Paper Series in Economics and Finance 1 Studies in microeconomics 1 Texto para discussão 1 Textos para discussão 1 Working Paper Series / Institute for Economic Research, Division of Economics 1
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Source
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ECONIS (ZBW) 20 RePEc 10 BASE 1 EconStor 1
Showing 1 - 10 of 32
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Stock return prediction with multiple measures using neural network models
Wang, Cong - In: Financial innovation : FIN 10 (2024), pp. 1-34
In the feld of empirical asset pricing, the challenges of high dimensionality, non-linear relationships, and interaction efects have led to the increasing popularity of machine learning (ML) methods. This study investigates the performance of ML methods when predicting diferent measures of stock...
Persistent link: https://www.econbiz.de/10014548175
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Prediction of China's industrial carbon peak : based on GDIM-MC model and LSTM-NN model
Li, Wen-kai; Wen, Hong-xing; Nie, Pu-yan - In: Energy strategy reviews 50 (2023), pp. 1-13
comprehensively used Monte Carlo simulation and LSTM Neural Network model to predict the evolution trends of China's industrial carbon … Technological Breakthrough scenario (green technology progress) will peak in 2027 and 2025, and under the LSTM Neural Network model …
Persistent link: https://www.econbiz.de/10014574953
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US funds' returns-based ESG extraction and implementation : a multifaceted quantile regression approach
Nasri, Farah; Ben Sassi, Salim - In: Journal of sustainable finance & investment 15 (2025) 1, pp. 205-233
Persistent link: https://www.econbiz.de/10015197388
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Supporting of manufacturing system based on demand forecasting tool
Kmiecik, Mariusz; Zangana, Hawre - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 18 (2022) 1, pp. 33-48
Persistent link: https://www.econbiz.de/10013164691
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Semantics matter : an empirical study on economic policy uncertainty index
Chen, Chung-Chi; Huang, Yu-lieh; Yang, Fang - In: International review of economics & finance : IREF 89 (2024) 1, pp. 1286-1302
Persistent link: https://www.econbiz.de/10014446624
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Does social banking matter in times of crisis? : evidence from the COVID-19 pandemic: a combined SEM-neural network approach
Nattaporn Thongsri; Orawan Tripak - In: International journal of social economics 51 (2024) 2, pp. 227-247
Persistent link: https://www.econbiz.de/10014466932
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An application of artificial neural networks in corporate social responsibility decision making
Nguyen Thi Thanh Binh - In: Intelligent systems in accounting, finance & management 31 (2024) 1, pp. 1-12
Persistent link: https://www.econbiz.de/10014468104
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Stock price crashes in China : an artificial neural network approach
Wang, Le; Zou, Liping; Wu, Ji - In: Pacific accounting review 35 (2023) 4, pp. 645-669
Persistent link: https://www.econbiz.de/10014429780
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A distributed deep neural network model for credit card fraud detection
Lei, Yu-Tian; Ma, Chao-Qun; Ren, Yi-Shuai; Chen, Xun-Qi; … - In: Finance research letters 58 (2023) 3, pp. 1-7
Persistent link: https://www.econbiz.de/10014636650
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Early warning of exchange rate risk based on structural shocks in international oil prices using the LSTM neural network model
Zhao, Yinglan; Feng, Chen; Xu, Nuo; Peng, Song; Liu, Chang - In: Energy economics 126 (2023), pp. 1-16
Persistent link: https://www.econbiz.de/10014483640
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