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Transformation of the Ukrainian Stock Market: A Data Properties View
Transformation of the Ukrainian Stock Market: A Data Properties View
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Transformation of the Ukrainian Stock Market: A Data Properties View

Journal of risk and financial management, 2024-05, Vol.17 (5), p.177 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 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. ;ISSN: 1911-8074 ;ISSN: 1911-8066 ;EISSN: 1911-8074 ;DOI: 10.3390/jrfm17050177

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2
COVID-19 pandemic, oil prices and Saudi stock market: empirical evidence from ARDL modeling and Bayer–Hanck cointegration approach
COVID-19 pandemic, oil prices and Saudi stock market: empirical evidence from ARDL modeling and Bayer–Hanck cointegration approach
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COVID-19 pandemic, oil prices and Saudi stock market: empirical evidence from ARDL modeling and Bayer–Hanck cointegration approach

Future business journal, 2024-12, Vol.10 (1), p.58 [Peer Reviewed Journal]

The Author(s) 2024 ;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. ;ISSN: 2314-7202 ;EISSN: 2314-7210 ;DOI: 10.1186/s43093-024-00338-0

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3
Downside Risk in Australian and Japanese Stock Markets: Evidence Based on the Expectile Regression
Downside Risk in Australian and Japanese Stock Markets: Evidence Based on the Expectile Regression
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Downside Risk in Australian and Japanese Stock Markets: Evidence Based on the Expectile Regression

Journal of risk and financial management, 2024-05, Vol.17 (5), p.189 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 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. ;ISSN: 1911-8074 ;ISSN: 1911-8066 ;EISSN: 1911-8074 ;DOI: 10.3390/jrfm17050189

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4
VALUE DISTRIBUTION TO STAKEHOLDERS: A STUDY ON POWER AND STRATEGIC IMPORTANCE ON THE TORONTO STOCK EXCHANGE/Distribuicao de valor para os stakeholders: Um estudo sobre poder e importancia estrategica na Bolsa de Valores de Toronto/Distribucion de valor a los stakeholders: Un estudio sobre el poder y la importancia estrategica en la Bolsa de Valores de Toronto
VALUE DISTRIBUTION TO STAKEHOLDERS: A STUDY ON POWER AND STRATEGIC IMPORTANCE ON THE TORONTO STOCK EXCHANGE/Distribuicao de valor para os stakeholders: Um estudo sobre poder e importancia estrategica na Bolsa de Valores de Toronto/Distribucion de valor a los stakeholders: Un estudio sobre el poder y la importancia estrategica en la Bolsa de Valores de Toronto
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VALUE DISTRIBUTION TO STAKEHOLDERS: A STUDY ON POWER AND STRATEGIC IMPORTANCE ON THE TORONTO STOCK EXCHANGE/Distribuicao de valor para os stakeholders: Um estudo sobre poder e importancia estrategica na Bolsa de Valores de Toronto/Distribucion de valor a los stakeholders: Un estudio sobre el poder y la importancia estrategica en la Bolsa de Valores de Toronto

Revista de administração de emprêsas, 2024-07, Vol.64 (4) [Peer Reviewed Journal]

COPYRIGHT 2024 Fundacao Getulio Vargas ;ISSN: 0034-7590 ;EISSN: 1676-5648 ;DOI: 10.1590/S0034-759020240405

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5
Forecasting the Performance of the Energy Sector at the Saudi Stock Exchange Market by Using GBM and GFBM Models
Forecasting the Performance of the Energy Sector at the Saudi Stock Exchange Market by Using GBM and GFBM Models
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Forecasting the Performance of the Energy Sector at the Saudi Stock Exchange Market by Using GBM and GFBM Models

Journal of risk and financial management, 2024-05, Vol.17 (5), p.182 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the author. 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. ;ISSN: 1911-8074 ;ISSN: 1911-8066 ;EISSN: 1911-8074 ;DOI: 10.3390/jrfm17050182

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