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Material Type: Article
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Correction: Being on the Field When the Game Is Still Under Way. The Financial Press and Stock Markets in Times of CrisisPloS one, 2014-01, Vol.9 (1) [Peer Reviewed Journal]2014 . This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2014 Public Library of Science 2014 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/annotation/97adcadf-bf3b-45f0-af5a-9133a7a638d0Full text available |
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Material Type: Article
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Peculiar magnetism of BiFeO3 nanoparticles with size approaching the period of the spiral spin structureScientific reports, 2013-10, Vol.3 (1), p.2907-2907, Article 2907 [Peer Reviewed Journal]Copyright Nature Publishing Group Oct 2013 ;Copyright © 2013, Macmillan Publishers Limited. All rights reserved 2013 Macmillan Publishers Limited. All rights reserved ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/srep02907 ;PMID: 24105027Full text available |
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Material Type: Article
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Opinion dynamics in financial markets via random networksProceedings of the National Academy of Sciences - PNAS, 2022-12, Vol.119 (49), p.1 [Peer Reviewed Journal]Copyright National Academy of Sciences Dec 6, 2022 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.220157311Full text available |
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Material Type: Article
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Quantifying trading behavior in financial markets using Google TrendsScientific reports, 2013-04, Vol.3 (1), p.1684-1684, Article 1684 [Peer Reviewed Journal]Copyright Nature Publishing Group Apr 2013 ;Copyright © 2013, Macmillan Publishers Limited. All rights reserved 2013 Macmillan Publishers Limited. All rights reserved ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/srep01684 ;PMID: 23619126Full text available |
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Material Type: Article
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Quantifying Wikipedia Usage Patterns Before Stock Market MovesScientific reports, 2013-05, Vol.3 (1), p.1801, Article 1801 [Peer Reviewed Journal]Copyright Nature Publishing Group May 2013 ;Copyright © 2013, Macmillan Publishers Limited. All rights reserved 2013 Macmillan Publishers Limited. All rights reserved ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/srep01801Full text available |
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Material Type: Article
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Quantifying the relationship between financial news and the stock marketScientific reports, 2013-12, Vol.3 (1), p.3578-3578, Article 3578 [Peer Reviewed Journal]Copyright Nature Publishing Group Dec 2013 ;Copyright © 2013, Macmillan Publishers Limited. All rights reserved 2013 Macmillan Publishers Limited. All rights reserved ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/srep03578 ;PMID: 24356666Full text available |
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7 |
Material Type: Article
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A deep learning framework for financial time series using stacked autoencoders and long-short term memoryPloS one, 2017-07, Vol.12 (7), p.e0180944-e0180944 [Peer Reviewed Journal]COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Bao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Bao et al 2017 Bao et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0180944 ;PMID: 28708865Full text available |
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8 |
Material Type: Article
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Government digital policy breaks the mystery of “limited participation” in China's home finance marketScientific reports, 2023-11, Vol.13 (1), p.20233-20233, Article 20233 [Peer Reviewed Journal]The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-023-47372-6Full text available |
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9 |
Material Type: Article
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COVID-19 forecasts via stock market indicatorsScientific reports, 2022-08, Vol.12 (1), p.13197-13197, Article 13197 [Peer Reviewed Journal]The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-15897-x ;PMID: 35915102Full text available |
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10 |
Material Type: Article
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Sentiment correlation in financial news networks and associated market movementsScientific reports, 2021-02, Vol.11 (1), p.3062-3062, Article 3062 [Peer Reviewed Journal]The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-021-82338-6 ;PMID: 33542292Full text available |
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11 |
Material Type: Article
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Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and RepliesPloS one, 2016-08, Vol.11 (8), p.e0161197-e0161197 [Peer Reviewed Journal]COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2016 Kim et al 2016 Kim et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0161197 ;PMID: 27533113Full text available |
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12 |
Material Type: Article
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Measuring critical transitions in financial marketsScientific reports, 2017-09, Vol.7 (1), p.11564-6, Article 11564 [Peer Reviewed Journal]2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2017 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-017-11854-1 ;PMID: 28912453Full text available |
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Material Type: Article
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Collective dynamics of stock market efficiencyScientific reports, 2020-12, Vol.10 (1), p.21992-21992, Article 21992 [Peer Reviewed Journal]The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-020-78707-2 ;PMID: 33319788Full text available |
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Material Type: Article
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Deep Learning for Stock Market PredictionEntropy (Basel, Switzerland), 2020-07, Vol.22 (8), p.840 [Peer Reviewed Journal]2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e22080840 ;PMID: 33286613Full text available |
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Material Type: Article
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Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network ModelPloS one, 2016-05, Vol.11 (5), p.e0155133-e0155133 [Peer Reviewed Journal]COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Qiu, Song. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2016 Qiu, Song 2016 Qiu, Song ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0155133 ;PMID: 27196055Full text available |
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Material Type: Article
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Global catastrophic risk from lower magnitude volcanic eruptionsNature communications, 2021-08, Vol.12 (1), p.4756-4756, Article 4756 [Peer Reviewed Journal]The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-021-25021-8 ;PMID: 34362902Full text available |
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Material Type: Article
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Synchronization of complex human networksNature communications, 2020-08, Vol.11 (1), p.3854-3854, Article 3854 [Peer Reviewed Journal]The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-17540-7 ;PMID: 32782263Full text available |
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18 |
Material Type: Article
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Structural Entropy: Monitoring Correlation-Based Networks Over Time With Application To Financial MarketsScientific reports, 2019-07, Vol.9 (1), p.10832-13, Article 10832 [Peer Reviewed Journal]2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2019 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-019-47210-8 ;PMID: 31346204Full text available |
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Material Type: Article
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Price Movement Prediction of Cryptocurrencies Using Sentiment Analysis and Machine LearningEntropy (Basel, Switzerland), 2019-06, Vol.21 (6), p.589 [Peer Reviewed Journal]2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e21060589 ;PMID: 33267303Full text available |
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Material Type: Article
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Topological Characteristics of the Hong Kong Stock Market: A Test-based P-threshold Approach to Understanding Network ComplexityScientific reports, 2017-02, Vol.7 (1), p.41379-41379, Article 41379 [Peer Reviewed Journal]Copyright Nature Publishing Group Feb 2017 ;Copyright © 2017, The Author(s) 2017 The Author(s) ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/srep41379 ;PMID: 28145494Full text available |