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1
A novel two-phase robust portfolio selection and optimization approach under uncertainty: A case study of Tehran stock exchange
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A novel two-phase robust portfolio selection and optimization approach under uncertainty: A case study of Tehran stock exchange

PloS one, 2020-10, Vol.15 (10), p.e0239810-e0239810 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Peykani 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. ;2020 Peykani et al 2020 Peykani et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0239810 ;PMID: 33045010

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2
Spillovers and contagion between BRIC and G7 markets: New evidence from time-frequency analysis
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Spillovers and contagion between BRIC and G7 markets: New evidence from time-frequency analysis

PloS one, 2022-07, Vol.17 (7), p.e0271088-e0271088 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Agyei 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. ;2022 Agyei et al 2022 Agyei et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0271088 ;PMID: 35895731

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3
The predictive capacity of GARCH-type models in measuring the volatility of crypto and world currencies
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The predictive capacity of GARCH-type models in measuring the volatility of crypto and world currencies

PloS one, 2021-01, Vol.16 (1), p.e0245904-e0245904 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;COPYRIGHT 2021 Public Library of Science ;2021 Naimy 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. ;2021 Naimy et al 2021 Naimy et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0245904 ;PMID: 33513150

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4
Bitcoin and S&P500: Co-movements of high-order moments in the time-frequency domain
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Bitcoin and S&P500: Co-movements of high-order moments in the time-frequency domain

PloS one, 2022-11, Vol.17 (11), p.e0277924-e0277924 [Peer Reviewed Journal]

Copyright: © 2022 Bouri 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 2022 Public Library of Science ;2022 Bouri 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. ;2022 Bouri et al 2022 Bouri et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0277924 ;PMID: 36413562

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5
Home bias and local equity portfolio decisions of Chinese insurance institutional investors
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Home bias and local equity portfolio decisions of Chinese insurance institutional investors

PloS one, 2023-07, Vol.18 (7), p.e0288250-e0288250 [Peer Reviewed Journal]

Copyright: © 2023 Yang 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 Yang 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 Yang et al 2023 Yang et al ;2023 Yang 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.0288250 ;PMID: 37450493

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6
MSPM: A modularized and scalable multi-agent reinforcement learning-based system for financial portfolio management
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MSPM: A modularized and scalable multi-agent reinforcement learning-based system for financial portfolio management

PloS one, 2022-02, Vol.17 (2), p.e0263689-e0263689 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Huang, Tanaka. 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. ;2022 Huang, Tanaka 2022 Huang, Tanaka ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0263689 ;PMID: 35180235

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7
The effect of self-organizing map architecture based on the value migration network centrality measures on stock return. Evidence from the US market
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The effect of self-organizing map architecture based on the value migration network centrality measures on stock return. Evidence from the US market

PloS one, 2022-11, Vol.17 (11), p.e0276567-e0276567 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Dariusz Siudak. 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. ;2022 Dariusz Siudak 2022 Dariusz Siudak ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0276567 ;PMID: 36318540

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8
Robo-investment aversion
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Robo-investment aversion

PloS one, 2020-09, Vol.15 (9), p.e0239277-e0239277 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Niszczota, Kaszás. 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 Niszczota, Kaszás 2020 Niszczota, Kaszás ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0239277 ;PMID: 32941504

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9
Constrained portfolio optimization with discrete variables: An algorithmic method based on dynamic programming
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Constrained portfolio optimization with discrete variables: An algorithmic method based on dynamic programming

PloS one, 2022-07, Vol.17 (7), p.e0271811-e0271811 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Jezeie 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. ;2022 Jezeie et al 2022 Jezeie et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0271811 ;PMID: 35901177

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10
Information flow among stocks, bonds, and convertible bonds
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Information flow among stocks, bonds, and convertible bonds

PloS one, 2023-03, Vol.18 (3), p.e0282964-e0282964 [Peer Reviewed Journal]

Copyright: © 2023 Jo 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 Jo 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 Jo et al 2023 Jo et al ;2023 Jo 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.0282964 ;PMID: 36952457

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11
Volatility forecasts of stock index futures in China and the US–A hybrid LSTM approach
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Volatility forecasts of stock index futures in China and the US–A hybrid LSTM approach

PloS one, 2022-07, Vol.17 (7), p.e0271595-e0271595 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Chen, Hu. 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. ;2022 Chen, Hu 2022 Chen, Hu ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0271595 ;PMID: 35901029

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12
Effectiveness of the Relative Strength Index Signals in Timing the Cryptocurrency Market
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Effectiveness of the Relative Strength Index Signals in Timing the Cryptocurrency Market

Sensors (Basel, Switzerland), 2023-02, Vol.23 (3), p.1664 [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: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23031664 ;PMID: 36772700

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13
Mutual information based stock networks and portfolio selection for intraday traders using high frequency data: An Indian market case study
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Mutual information based stock networks and portfolio selection for intraday traders using high frequency data: An Indian market case study

PloS one, 2019-08, Vol.14 (8), p.e0221910-e0221910 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Sharma, Habib. 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 Sharma, Habib 2019 Sharma, Habib ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0221910 ;PMID: 31465507

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14
A portfolio selection model based on the knapsack problem under uncertainty
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A portfolio selection model based on the knapsack problem under uncertainty

PloS one, 2019-05, Vol.14 (5), p.e0213652-e0213652 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Vaezi 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 Vaezi et al 2019 Vaezi et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0213652 ;PMID: 31042709

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15
Dynamic Linkage between Bitcoin and Traditional Financial Assets: A Comparative Analysis of Different Time Frequencies
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Dynamic Linkage between Bitcoin and Traditional Financial Assets: A Comparative Analysis of Different Time Frequencies

Entropy (Basel, Switzerland), 2022-10, Vol.24 (11), p.1565 [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/e24111565 ;PMID: 36359656

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16
Portfolio Optimization with a Mean–Absolute Deviation–Entropy Multi-Objective Model
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Portfolio Optimization with a Mean–Absolute Deviation–Entropy Multi-Objective Model

Entropy (Basel, Switzerland), 2021-09, Vol.23 (10), p.1266 [Peer Reviewed Journal]

2021 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. ;2021 by the authors. 2021 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e23101266 ;PMID: 34681990

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17
Innovative deep matching algorithm for stock portfolio selection using deep stock profiles
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Innovative deep matching algorithm for stock portfolio selection using deep stock profiles

PloS one, 2020-11, Vol.15 (11), p.e0241573-e0241573 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Guo 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. ;2020 Guo et al 2020 Guo et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0241573 ;PMID: 33147275

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18
Impact of consumer confidence on the expected returns of the Tokyo Stock Exchange: A comparative analysis of consumption and production-based asset pricing models
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Impact of consumer confidence on the expected returns of the Tokyo Stock Exchange: A comparative analysis of consumption and production-based asset pricing models

PloS one, 2020-11, Vol.15 (11), p.e0241318-e0241318 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Rojo-Suárez, Alonso-Conde. 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 Rojo-Suárez, Alonso-Conde 2020 Rojo-Suárez, Alonso-Conde ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0241318 ;PMID: 33141827

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19
A K-Means Classification and Entropy Pooling Portfolio Strategy for Small and Large Capitalization Cryptocurrencies
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A K-Means Classification and Entropy Pooling Portfolio Strategy for Small and Large Capitalization Cryptocurrencies

Entropy (Basel, Switzerland), 2023-08, Vol.25 (8), p.1208 [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/e25081208

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20
Looking into the Market Behaviors through the Lens of Correlations and Eigenvalues: An Investigation on the Chinese and US Markets Using RMT
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Looking into the Market Behaviors through the Lens of Correlations and Eigenvalues: An Investigation on the Chinese and US Markets Using RMT

Entropy (Basel, Switzerland), 2023-10, Vol.25 (10), p.1460 [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/e25101460 ;PMID: 37895581

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