Article ; Online: Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries.
Research in international business and finance
2022 Volume 61, Page(s) 101667
Abstract: 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 ... ...
Abstract | 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. |
---|---|
Language | English |
Publishing date | 2022-04-28 |
Publishing country | United States |
Document type | News |
ISSN | 1878-3384 |
ISSN (online) | 1878-3384 |
DOI | 10.1016/j.ribaf.2022.101667 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
Full text online
More links
Kategorien
Order via subito
This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.
Inter-library loan at ZB MED
Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.