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Lọc theo: Cơ sở dữ liệu: MEDLINE xóa Năm xuất bản: 2009 đến 2017 xóa
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1
Dominating clasp of the financial sector revealed by partial correlation analysis of the stock market
Material Type:
Bài báo
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Dominating clasp of the financial sector revealed by partial correlation analysis of the stock market

PloS one, 2010-12, Vol.5 (12), p.e15032-e15032 [Tạp chí có phản biện]

COPYRIGHT 2010 Public Library of Science ;COPYRIGHT 2010 Public Library of Science ;2010 Kenett 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. ;Kenett et al. 2010 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0015032 ;PMID: 21188140

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2
A deep learning framework for financial time series using stacked autoencoders and long-short term memory
Material Type:
Bài báo
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A deep learning framework for financial time series using stacked autoencoders and long-short term memory

PloS one, 2017-07, Vol.12 (7), p.e0180944-e0180944 [Tạp chí có phản biện]

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: 28708865

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3
A new accuracy measure based on bounded relative error for time series forecasting
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Bài báo
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A new accuracy measure based on bounded relative error for time series forecasting

PloS one, 2017-03, Vol.12 (3), p.e0174202-e0174202 [Tạp chí có phản biện]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Chen 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 Chen et al 2017 Chen et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0174202 ;PMID: 28339480

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4
Consentaneous agent-based and stochastic model of the financial markets
Material Type:
Bài báo
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Consentaneous agent-based and stochastic model of the financial markets

PloS one, 2014-07, Vol.9 (7), p.e102201-e102201 [Tạp chí có phản biện]

COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Gontis, Kononovicius. 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 Gontis, Kononovicius 2014 Gontis, Kononovicius ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0102201 ;PMID: 25029364

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5
Profitability of Contrarian Strategies in the Chinese Stock Market
Material Type:
Bài báo
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Profitability of Contrarian Strategies in the Chinese Stock Market

PloS one, 2015-09, Vol.10 (9), p.e0137892-e0137892 [Tạp chí có phản biện]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 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. ;2015 Shi et al 2015 Shi et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0137892 ;PMID: 26368537

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6
Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model
Material Type:
Bài báo
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Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model

PloS one, 2016-05, Vol.11 (5), p.e0155133-e0155133 [Tạp chí có phản biện]

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: 27196055

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7
Quantifying the behavior of stock correlations under market stress
Material Type:
Bài báo
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Quantifying the behavior of stock correlations under market stress

Scientific reports, 2012-10, Vol.2 (1), p.752-752, Article 752 [Tạp chí có phản biện]

Copyright Nature Publishing Group Oct 2012 ;Copyright © 2012, Macmillan Publishers Limited. All rights reserved 2012 Macmillan Publishers Limited. All rights reserved ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/srep00752 ;PMID: 23082242

Tài liệu số/Tài liệu điện tử

8
Web search queries can predict stock market volumes
Material Type:
Bài báo
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Web search queries can predict stock market volumes

PloS one, 2012-07, Vol.7 (7), p.e40014-e40014 [Tạp chí có phản biện]

COPYRIGHT 2012 Public Library of Science ;COPYRIGHT 2012 Public Library of Science ;2012 Bordino 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. ;Bordino et al. 2012 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0040014 ;PMID: 22829871

Tài liệu số/Tài liệu điện tử

9
Why Do Markets Crash? Bitcoin Data Offers Unprecedented Insights
Material Type:
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Why Do Markets Crash? Bitcoin Data Offers Unprecedented Insights

PloS one, 2015-10, Vol.10 (10), p.e0139356-e0139356 [Tạp chí có phản biện]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Donier, Bouchaud. 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 Donier, Bouchaud 2015 Donier, Bouchaud ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0139356 ;PMID: 26448333

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10
Statistically validated networks in bipartite complex systems
Material Type:
Bài báo
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Statistically validated networks in bipartite complex systems

PloS one, 2011-03, Vol.6 (3), p.e17994-e17994 [Tạp chí có phản biện]

COPYRIGHT 2011 Public Library of Science ;COPYRIGHT 2011 Public Library of Science ;2011 Tumminello 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. ;Tumminello et al. 2011 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0017994 ;PMID: 21483858

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Kết quả 1 - 10 của 167  trong Tất cả tài nguyên

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