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

被引：7
作者：
Al-Maadid, Alanoud [1 ]
Alhazbi, Saleh [2 ,4 ]
Al-Thelaya, Khaled [3 ]
机构：
[1] Qatar Univ, Coll Econ & Finance, Doha, Qatar
[2] Qatar Univ, Dept Comp Sci & Engn, Doha, Qatar
[3] Hamad Bin Khalifa Univ, Coll Sci & Engn, Doha, Qatar
[4] Qatar Univ, POB 2713, Doha, Qatar
来源：
RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE | 2022年 / 61卷
关键词：
COVID-19; Machine-learning; STOCK MARKETS; GCC; RETURNS; LIQUIDITY; RISK;
D O I：
10.1016/j.ribaf.2022.101667
中图分类号：
F8 [财政、金融];
学科分类号：
0202 ;
摘要：
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.
引用
收藏
页数：14
相关论文
共 50 条
  • [31] Machine learning sentiment analysis, COVID-19 news and stock market reactions
    Costola, Michele
    Hinz, Oliver
    Nofer, Michael
    Pelizzon, Loriana
    [J]. RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2023, 64
  • [32] The impact of the COVID-19 pandemic on persistence in the European stock markets
    Caporale, Guglielmo Maria
    Gil-Alana, Luis
    Lasaosa, Isabel Arrese
    [J]. HELIYON, 2022, 8 (11)
  • [33] Boosting agnostic fundamental analysis: Using machine learning to identify mispricing in European stock markets
    Hanauer, Matthias X.
    Kononova, Marina
    Rapp, Marc Steffen
    [J]. FINANCE RESEARCH LETTERS, 2022, 48
  • [34] Using Machine Learning for News Verification
    Rolong Agudelo, Gerardo Ernesto
    Salcedo Parra, Octavio Jose
    Medina, Javier
    [J]. FUTURE DATA AND SECURITY ENGINEERING, FDSE 2018, 2018, 11251 : 251 - 257
  • [35] Prediction of Alzheimer's in People with Coronavirus Using Machine Learning
    Mohammadi, Shahriar
    Zarei, Soraya
    Jabbari, Hossain
    [J]. IRANIAN JOURNAL OF PUBLIC HEALTH, 2023, 52 (10) : 2179 - 2185
  • [36] The Impact of COVID-19 Pandemic on Emerging Country Stock Markets: Evidence of the Value Effect
    Yang, Yang
    Li, Lingyi
    Jiang, Jialing
    [J]. EMERGING MARKETS FINANCE AND TRADE, 2022, 58 (01) : 70 - 81
  • [37] Impact of news-based equity market volatility on international stock markets
    Alqahtani, Abdullah
    Wither, Michael J.
    Dong, Zhankui
    Goodwin, Kimberly R.
    [J]. JOURNAL OF APPLIED ECONOMICS, 2020, 23 (01) : 224 - 234
  • [38] COVID-19 pandemic and linkage between stock markets in Middle Eastern countries
    Al-Khazaleh, Suhaib
    Badwan, Nemer
    Eriqat, Ibrahim
    El Shlmani, Zahra
    [J]. JOURNAL OF CHINESE ECONOMIC AND FOREIGN TRADE STUDIES, 2024, 17 (2/3) : 112 - 132
  • [39] Impact of COVID-19 pandemic on stock markets: Conventional vs. Islamic indices using wavelet-based multi-timescales analysis
    Hasan, Md Bokhtiar
    Mahi, Masnun
    Hassan, M. Kabir
    Bhuiyan, Abul Bashar
    [J]. NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2021, 58
  • [40] Pandemic, policy, and markets: insights and learning from COVID-19's impact on global stock behavior
    Yang, Shuxin
    [J]. EMPIRICAL ECONOMICS, 2025, 68 (02) : 555 - 583
12345