The Impact of the COVID-19 Pandemic on Stock Market Performance in G20 Countries: Evidence from Long Short-Term Memory with a Recurrent Neural Network Approach

被引：0
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作者：
Fitriana, Pingkan Mayosi [1 ]
Saputra, Jumadil [1 ]
Halim, Zairihan Abdul [1 ]
机构：
[1] Department of Economics, Faculty of Business, Economics, and Social Development, Universiti Malaysia Terengganu, Terengganu, Malaysia
来源：
Big Data | 2023年
关键词：
Engineering Village;
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学科分类号：
摘要：
Argentina - COVID-19 pandemic - Developing nations - G20 country - Industrialized nations - Long short-term memory with a recurrent neural network approach - Market data - South Africa - Stock market performance - United kingdom
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