Machine Learning in Economics and Finance
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Published in | Computational economics Vol. 57; no. 1; pp. 1 - 4 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.01.2021
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 0927-7099 1572-9974 |
DOI | 10.1007/s10614-021-10094-w |
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Author | Papadimitriou, Theophilos Gogas, Periklis |
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Author_xml | – sequence: 1 givenname: Periklis surname: Gogas fullname: Gogas, Periklis email: perrygogas@gmail.com organization: Department of Economics, Democritus University of Thrace – sequence: 2 givenname: Theophilos surname: Papadimitriou fullname: Papadimitriou, Theophilos organization: Department of Economics, Democritus University of Thrace |
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Cites_doi | 10.1007/s10614-020-10060-y 10.1080/01969727408546068 10.1007/s10614-020-10057-7 10.1007/s10614-020-10054-w 10.1007/s10614-020-10032-2 10.1007/s10614-020-10022-4 10.1007/s10614-020-10042-0 10.1007/s10614-020-10039-9 10.1007/s10614-020-10059-5 10.1007/s10614-020-10019-z 10.1007/s10614-020-10065-7 10.1007/s10614-020-10040-2 10.1007/s10614-020-10067-5 10.1007/s10614-020-10077-3 10.1007/s10614-020-10047-9 10.1007/s10614-020-10038-w 10.1007/s10614-020-10083-5 10.1007/s10614-020-10085-3 10.1109/ICNN.1988.23959 10.1109/MAHC.2010.44 |
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References | Plakandaras, Gogas, Papadimitriou (CR13) 2020 Yoon (CR20) 2020 Pesantez-Narvaez, Guillen, Alcañiz (CR12) 2020 CR7 Lussange, Lazarevich, Bourgeois-Gironde (CR10) 2020 CR18 Mitchell (CR11) 1997 CR17 Bussmann, Giudici, Marinelli (CR3) 2020 Triepels, Daniels, Berndsen (CR15) 2020 CR500 Tsagris (CR16) 2020 CR600 Syriopoulos, Tsatsaronis, Karamanos (CR14) 2020 Alexakis, Dowling, Eleftheriou (CR1) 2020 Yilmaz, Arabaci (CR19) 2020 Lee, Lee (CR8) 1974; 4 Lima, Godeiro, Mohsin (CR9) 2020 Duarte, Montenegro González, Cruz (CR6) 2020 Chakraborty, Chakraborty, Biswas (CR4) 2020 Chen, Chen, Du (CR5) 2020 Bouri, Gkillas, Gupta (CR2) 2020 M Tsagris (10094_CR16) 2020 N Bussmann (10094_CR3) 2020 SC Lee (10094_CR8) 1974; 4 T Syriopoulos (10094_CR14) 2020 T Chakraborty (10094_CR4) 2020 J Lussange (10094_CR10) 2020 C Alexakis (10094_CR1) 2020 JJ Duarte (10094_CR6) 2020 J Yoon (10094_CR20) 2020 R Triepels (10094_CR15) 2020 10094_CR500 FM Yilmaz (10094_CR19) 2020 LR Lima (10094_CR9) 2020 10094_CR600 E Bouri (10094_CR2) 2020 T Mitchell (10094_CR11) 1997 TH Chen (10094_CR5) 2020 V Plakandaras (10094_CR13) 2020 10094_CR7 10094_CR18 J Pesantez-Narvaez (10094_CR12) 2020 10094_CR17 |
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A comprehensive study for exchange rate forecasting publication-title: Computational Economics doi: 10.1007/s10614-020-10047-9 – year: 2020 ident: CR10 article-title: Modelling stock markets by multi-agent reinforcement learning publication-title: Computational Economics doi: 10.1007/s10614-020-10038-w – ident: 10094_CR600 doi: 10.1007/s10614-020-10083-5 – year: 2020 ident: 10094_CR14 publication-title: Computational Economics doi: 10.1007/s10614-020-10032-2 – year: 2020 ident: 10094_CR15 publication-title: Computational Economics doi: 10.1007/s10614-020-10067-5 – ident: 10094_CR17 – ident: 10094_CR500 doi: 10.1007/s10614-020-10085-3 – year: 2020 ident: 10094_CR5 publication-title: Computational Economics doi: 10.1007/s10614-020-10057-7 – year: 2020 ident: 10094_CR19 publication-title: Computational Economics doi: 10.1007/s10614-020-10047-9 – year: 2020 ident: 10094_CR13 publication-title: Computational Economics doi: 10.1007/s10614-020-10019-z – year: 2020 ident: 10094_CR6 publication-title: Computational Economics doi: 10.1007/s10614-020-10060-y – year: 2020 ident: 10094_CR9 publication-title: Computational Economics doi: 10.1007/s10614-020-10039-9 – year: 2020 ident: 10094_CR4 publication-title: Computational Economics doi: 10.1007/s10614-020-10040-2 – year: 2020 ident: 10094_CR2 publication-title: Computational Economics doi: 10.1007/s10614-020-10022-4 – year: 2020 ident: 10094_CR16 publication-title: Computational Economics doi: 10.1007/s10614-020-10065-7 – year: 2020 ident: 10094_CR10 publication-title: Computational Economics doi: 10.1007/s10614-020-10038-w – start-page: 2 volume-title: Machine Learning year: 1997 ident: 10094_CR11 – ident: 10094_CR18 doi: 10.1109/ICNN.1988.23959 – ident: 10094_CR7 doi: 10.1109/MAHC.2010.44 – volume: 4 start-page: 83 issue: 2 year: 1974 ident: 10094_CR8 publication-title: Journal of Cybernetics doi: 10.1080/01969727408546068 – year: 2020 ident: 10094_CR1 publication-title: Computational Economics doi: 10.1007/s10614-020-10077-3 – year: 2020 ident: 10094_CR3 publication-title: Computational Economics doi: 10.1007/s10614-020-10042-0 – year: 2020 ident: 10094_CR12 publication-title: Computational Economics doi: 10.1007/s10614-020-10059-5 – year: 2020 ident: 10094_CR20 publication-title: Computational Economics doi: 10.1007/s10614-020-10054-w |
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