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Peer-reviewed Journals (654)

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Result Number	Material Type	Record Details and Options
1	Material Type: Article	Aftermarket Performance of Health Care and Biopharmaceutical IPOs: Evidence From ASEAN Countries Inquiry (Chicago), 2017, Vol.54, p.46958017727105 [Peer Reviewed Journal] The Author(s) 2017 ;The Author(s) 2017 2017 SAGE Publications ;ISSN: 0046-9580 ;EISSN: 1945-7243 ;DOI: 10.1177/0046958017727105 ;PMID: 28853306 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	Agent-based model with asymmetric trading and herding for complex financial systems PloS one, 2013-11, Vol.8 (11), p.e79531-e79531 [Peer Reviewed Journal] COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013 Chen 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 Chen et al 2013 Chen et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0079531 ;PMID: 24278146 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Aggregated Power Indices for Measuring Indirect Control in Complex Corporate Networks with Float Shareholders Entropy (Basel, Switzerland), 2023-02, Vol.25 (3), p.429 [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/e25030429 ;PMID: 36981317 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Air Pollution, Environmental Violation Risk, and the Cost of Debt: Evidence from China International journal of environmental research and public health, 2022-03, Vol.19 (6), p.3584 [Peer Reviewed Journal] 2022 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. ;2022 by the authors. 2022 ;ISSN: 1660-4601 ;ISSN: 1661-7827 ;EISSN: 1660-4601 ;DOI: 10.3390/ijerph19063584 ;PMID: 35329270 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	An algorithm for testing the efficient market hypothesis PloS one, 2013-10, Vol.8 (10), p.e78177-e78177 [Peer Reviewed Journal] COPYRIGHT 2013 Public Library of Science ;2013 Boboc, Dinică. 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 Boboc, Dinică 2013 Boboc, Dinică ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0078177 ;PMID: 24205148 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	An analysis of crude oil prices in the last decade (2011-2020): With deep learning approach PloS one, 2023-03, Vol.18 (3), p.e0268996-e0268996 [Peer Reviewed Journal] Copyright: © 2023 Sen et al. 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 Sen 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 Sen et al 2023 Sen et al ;2023 Sen 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.0268996 ;PMID: 36893097 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Analysis of global stock index data during crisis period via complex network approach PloS one, 2018-07, Vol.13 (7), p.e0200600-e0200600 [Peer Reviewed Journal] COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Li, Pi. 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. ;2018 Li, Pi 2018 Li, Pi ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0200600 ;PMID: 30020981 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	Analysis of Longitudinal Binomial Data with Positive Association between the Number of Successes and the Number of Failures: An Application to Stock Instability Study Entropy (Basel, Switzerland), 2022-10, Vol.24 (10), p.1472 [Peer Reviewed Journal] COPYRIGHT 2022 MDPI AG ;2022 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. ;2022 by the authors. 2022 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e24101472 ;PMID: 37420492 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Analyzing influence of COVID-19 on crypto & financial markets and sentiment analysis using deep ensemble model PloS one, 2023-09, Vol.18 (9), p.e0286541-e0286541 [Peer Reviewed Journal] COPYRIGHT 2023 Public Library of Science ;2023 Washington 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 Washington et al 2023 Washington et al ;2023 Washington 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.0286541 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	Analyzing the Long Term Cohesive Effect of Sector Specific Driving Forces PloS one, 2016-03, Vol.11 (3), p.e0152487-e0152487 [Peer Reviewed Journal] COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Berman 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 Berman et al 2016 Berman et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0152487 ;PMID: 27031230 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	Anomaly detection in Bitcoin market via price return analysis PloS one, 2019-06, Vol.14 (6), p.e0218341-e0218341 [Peer Reviewed Journal] COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Shi 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 Shi et al 2019 Shi et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0218341 ;PMID: 31220142 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	Anticipating Economic Market Crises Using Measures of Collective Panic PloS one, 2015-07, Vol.10 (7), p.e0131871-e0131871 [Peer Reviewed Journal] COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Harmon 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. ;2015 Harmon et al 2015 Harmon et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0131871 ;PMID: 26185988 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Application of Cloud Model in Qualitative Forecasting for Stock Market Trends Entropy (Basel, Switzerland), 2020-09, Vol.22 (9), p.991 [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/e22090991 ;PMID: 33286760 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Application of Deep Learning Model in the Avoidance of Investment Risk of Multinational Enterprises Computational intelligence and neuroscience, 2022-06, Vol.2022, p.1-10 [Peer Reviewed Journal] Copyright © 2022 Yan Yan et al. ;Copyright © 2022 Yan Yan et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;Copyright © 2022 Yan Yan et al. 2022 ;ISSN: 1687-5265 ;EISSN: 1687-5273 ;DOI: 10.1155/2022/6578274 ;PMID: 35800687 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Application of Empirical Mode Decomposition with Local Linear Quantile Regression in Financial Time Series Forecasting TheScientificWorld, 2014-01, Vol.2014, p.708918-5 [Peer Reviewed Journal] Copyright © 2014 Abobaker M. Jaber et al. ;COPYRIGHT 2014 Hindawi Limited ;Copyright © 2014 Abobaker M. Jaber et al. Abobaker M. Jaber et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ;Copyright © 2014 Abobaker M. Jaber et al. 2014 ;ISSN: 2356-6140 ;ISSN: 1537-744X ;EISSN: 1537-744X ;DOI: 10.1155/2014/708918 ;PMID: 25140343 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Application of Improved LSTM Algorithm in Macroeconomic Forecasting Computational intelligence and neuroscience, 2021, Vol.2021, p.4471044-9 [Peer Reviewed Journal] Copyright © 2021 Shijun Chen et al. ;Copyright © 2021 Shijun Chen et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;Copyright © 2021 Shijun Chen et al. 2021 ;ISSN: 1687-5265 ;EISSN: 1687-5273 ;DOI: 10.1155/2021/4471044 ;PMID: 34754302 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Applying Hybrid ARIMA-SGARCH in Algorithmic Investment Strategies on S&P500 Index Entropy (Basel, Switzerland), 2022-01, Vol.24 (2), p.158 [Peer Reviewed Journal] 2022 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. ;2022 by the authors. 2022 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e24020158 ;PMID: 35205454 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Archetypal Analysis and DEA Model, Their Application on Financial Data and Visualization with PHATE Entropy (Basel, Switzerland), 2022-01, Vol.24 (1), p.88 [Peer Reviewed Journal] 2022 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. ;2022 by the authors. 2022 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e24010088 ;PMID: 35052114 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Are Price Limits Effective? An Examination of an Artificial Stock Market PloS one, 2016-08, Vol.11 (8), p.e0160406-e0160406 [Peer Reviewed Journal] COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Zhang 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 Zhang et al 2016 Zhang et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0160406 ;PMID: 27513330 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Are random trading strategies more successful than technical ones? PloS one, 2013-07, Vol.8 (7), p.e68344-e68344 [Peer Reviewed Journal] COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013 Biondo 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 Biondo et al 2013 Biondo et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0068344 ;PMID: 23874594 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by