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subject: Stock Prices

Result Number	Material Type	Record Details and Options
1	Material Type: Article	Asymmetric impact of oil prices on stock returns in Shanghai stock exchange: Evidence from asymmetric ARDL model PloS one, 2019-06, Vol.14 (6), p.e0218289-e0218289 [Peer Reviewed Journal] COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Khan 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. ;2019 Khan et al 2019 Khan et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0218289 ;PMID: 31211817 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	Cross-correlations between volume change and price change Proceedings of the National Academy of Sciences - PNAS, 2009-12, Vol.106 (52), p.22079-22084 [Peer Reviewed Journal] Copyright National Academy of Sciences Dec 29, 2009 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.0911983106 ;PMID: 20018772 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Stock price prediction using principal components PloS one, 2020-03, Vol.15 (3), p.e0230124-e0230124 [Peer Reviewed Journal] COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Ghorbani, Chong. 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. ;2020 Ghorbani, Chong 2020 Ghorbani, Chong ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0230124 ;PMID: 32196528 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Deep architectures for long-term stock price prediction with a heuristic-based strategy for trading simulations PloS one, 2019-10, Vol.14 (10), p.e0223593-e0223593 [Peer Reviewed Journal] COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Stoean 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. ;2019 Stoean et al 2019 Stoean et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0223593 ;PMID: 31600306 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	Deep-learning-based stock market prediction incorporating ESG sentiment and technical indicators Scientific reports, 2024-05, Vol.14 (1), p.10262-10262 [Peer Reviewed Journal] 2024. The Author(s). ;The Author(s) 2024. 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) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-61106-2 ;PMID: 38704434 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	A performance comparison of machine learning models for stock market prediction with novel investment strategy PloS one, 2023-09, Vol.18 (9), p.e0286362-e0286362 [Peer Reviewed Journal] COPYRIGHT 2023 Public Library of Science ;2023 Khan 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. ;2023 Khan et al 2023 Khan et al ;2023 Khan 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. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0286362 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Impacts of environmental uncertainty on investment stocks perception under the holiday effect PloS one, 2023-08, Vol.18 (8), p.e0284745-e0284745 [Peer Reviewed Journal] Copyright: © 2023 Wei, Lin. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Wei, Lin. 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. ;2023 Wei, Lin 2023 Wei, Lin ;2023 Wei, Lin. 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. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0284745 ;PMID: 37535573 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	Fourier instantaneous estimators and the Epps effect PloS one, 2020-09, Vol.15 (9), p.e0239415-e0239415 [Peer Reviewed Journal] COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Patrick Chang. 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. ;2020 Patrick Chang 2020 Patrick Chang ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0239415 ;PMID: 32960915 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Leverage structure and stock price synchronicity: Evidence from China PloS one, 2020-07, Vol.15 (7), p.e0235349-e0235349 [Peer Reviewed Journal] COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Zhang, Zhou. 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. ;2020 Zhang, Zhou 2020 Zhang, Zhou ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0235349 ;PMID: 32609772 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	Predicting Short-Term Stock Fluctuations by Using Processing Fluency Proceedings of the National Academy of Sciences - PNAS, 2006-06, Vol.103 (24), p.9369-9372 [Peer Reviewed Journal] Copyright 2006 National Academy of Sciences of the United States of America ;Copyright National Academy of Sciences Jun 13, 2006 ;2006 by The National Academy of Sciences of the USA 2006 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.0601071103 ;PMID: 16754871 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	Stock Market Forecasting Based on Spatiotemporal Deep Learning Entropy (Basel, Switzerland), 2023-09, Vol.25 (9), p.1326 [Peer Reviewed Journal] COPYRIGHT 2023 MDPI AG ;2023 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 (https://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. ;2023 by the authors. 2023 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e25091326 ;PMID: 37761625 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	Collective attention and stock prices: evidence from Google Trends data on Standard and Poor's 100 PloS one, 2015-08, Vol.10 (8), p.e0135311-e0135311 [Peer Reviewed Journal] COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Raphael H. Heiberger. 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. ;2015 Raphael H. Heiberger 2015 Raphael H. Heiberger ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0135311 ;PMID: 26258498 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Do stock prices drive people crazy? Health policy and planning, 2015-03, Vol.30 (2), p.206-214 [Peer Reviewed Journal] The Author 2014 ;Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine © The Author 2014; all rights reserved. ;Copyright Oxford Publishing Limited(England) Mar 2015 ;ISSN: 0268-1080 ;EISSN: 1460-2237 ;DOI: 10.1093/heapol/czu007 ;PMID: 24526705 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	A structured multi-head attention prediction method based on heterogeneous financial data PeerJ. Computer science, 2023-11, Vol.9, p.e1653-e1653, Article e1653 [Peer Reviewed Journal] 2023 Zhao et al. ;2023 Zhao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.1653 ;PMID: 38077577 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Novel grey wolf optimizer based parameters selection for GARCH and ARIMA models for stock price prediction PeerJ. Computer science, 2024-01, Vol.10, p.e1735-e1735, Article e1735 [Peer Reviewed Journal] 2024 Bagalkot et al. ;2024 Bagalkot et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2024 Bagalkot et al. 2024 Bagalkot et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.1735 ;PMID: 38196957 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Mood and the market: can press reports of investors' mood predict stock prices? PloS one, 2013-08, Vol.8 (8), p.e72031-e72031 [Peer Reviewed Journal] COPYRIGHT 2013 Public Library of Science ;2013 Cohen-Charash et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://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. ;2013 Cohen-Charash et al 2013 Cohen-Charash et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0072031 ;PMID: 24015202 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Market Confidence Predicts Stock Price: Beyond Supply and Demand PloS one, 2016-07, Vol.11 (7), p.e0158742-e0158742 [Peer Reviewed Journal] COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Sun 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 Sun et al 2016 Sun et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0158742 ;PMID: 27391816 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	The application of the propensity score matching method in stock prediction among stocks within the same industry PeerJ. Computer science, 2024-01, Vol.10, p.e1819-e1819, Article e1819 [Peer Reviewed Journal] 2024 Li and Xue. ;2024 Li and Xue. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2024 Li and Xue 2024 Li and Xue ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.1819 ;PMID: 38435608 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Collective Behavior of Market Participants during Abrupt Stock Price Changes PloS one, 2016-08, Vol.11 (8), p.e0160152-e0160152 [Peer Reviewed Journal] COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Jun-ichi Maskawa. 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 Jun-ichi Maskawa 2016 Jun-ichi Maskawa ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0160152 ;PMID: 27513335 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Scaling and volatility of breakouts and breakdowns in stock price dynamics PloS one, 2013-12, Vol.8 (12), p.e82771-e82771 [Peer Reviewed Journal] COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013 Liu 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. ;2013 Liu et al 2013 Liu et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0082771 ;PMID: 24376577 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by