Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries

COVID-19 has resulted in high volatility in financial markets across the world. The goal of this study is to investigate the impact of COVID-19-related news on the stock markets in Gulf Cooperation Council (GCC) countries. The study utilizes machine learning approaches to assess the role of COVID-19...

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Autores principales: Al-Maadid, Alanoud, Alhazbi, Saleh, Al-Thelaya, Khaled
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046103/
https://www.ncbi.nlm.nih.gov/pubmed/35502232
http://dx.doi.org/10.1016/j.ribaf.2022.101667
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author Al-Maadid, Alanoud
Alhazbi, Saleh
Al-Thelaya, Khaled
author_facet Al-Maadid, Alanoud
Alhazbi, Saleh
Al-Thelaya, Khaled
author_sort Al-Maadid, Alanoud
collection PubMed
description COVID-19 has resulted in high volatility in financial markets across the world. The goal of this study is to investigate the impact of COVID-19-related news on the stock markets in Gulf Cooperation Council (GCC) countries. The study utilizes machine learning approaches to assess the role of COVID-19 news in stock return predictability in these markets. The results reveal that the stock markets in the United Arab Emirates (UAE), Qatar, Saudi Arabia, and Oman were impacted by coronavirus-related news; however, this news had no impact on the stocks in Bahrain. Moreover, the results indicate that the impacted markets were influenced differently in terms of the quantities and types of news.
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spelling pubmed-90461032022-04-28 Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries Al-Maadid, Alanoud Alhazbi, Saleh Al-Thelaya, Khaled Res Int Bus Finance Article COVID-19 has resulted in high volatility in financial markets across the world. The goal of this study is to investigate the impact of COVID-19-related news on the stock markets in Gulf Cooperation Council (GCC) countries. The study utilizes machine learning approaches to assess the role of COVID-19 news in stock return predictability in these markets. The results reveal that the stock markets in the United Arab Emirates (UAE), Qatar, Saudi Arabia, and Oman were impacted by coronavirus-related news; however, this news had no impact on the stocks in Bahrain. Moreover, the results indicate that the impacted markets were influenced differently in terms of the quantities and types of news. The Author(s). Published by Elsevier B.V. 2022-10 2022-04-28 /pmc/articles/PMC9046103/ /pubmed/35502232 http://dx.doi.org/10.1016/j.ribaf.2022.101667 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Al-Maadid, Alanoud
Alhazbi, Saleh
Al-Thelaya, Khaled
Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries
title Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries
title_full Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries
title_fullStr Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries
title_full_unstemmed Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries
title_short Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries
title_sort using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in gcc countries
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046103/
https://www.ncbi.nlm.nih.gov/pubmed/35502232
http://dx.doi.org/10.1016/j.ribaf.2022.101667
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