Cargando…
Corporate vulnerability in the US and China during COVID-19: A machine learning approach
The impact of COVID-19 on stock market dynamics and other macroeconomic indicators has been extensively researched. However, the question of how it affects corporate vulnerability has received less attention. This article aims to fill this gap by examining the implications of COVID-19 on corporate v...
Autores principales: | Khan, Muhammad Asif, Segovia, Juan E.Trinidad, Bhatti, M.Ishaq, Kabir, Asif |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083205/ https://www.ncbi.nlm.nih.gov/pubmed/37089460 http://dx.doi.org/10.1016/j.jeca.2023.e00302 |
Ejemplares similares
-
Early Stage Machine Learning–Based Prediction of US County Vulnerability to the COVID-19 Pandemic: Machine Learning Approach
por: Mehta, Mihir, et al.
Publicado: (2020) -
Social vulnerability and initial COVID-19 community spread in the US South: a machine learning approach
por: Tatar, Moosa, et al.
Publicado: (2023) -
The Role of Corporate Social Responsibility and Corporate Image in Times of Crisis: The Mediating Role of Customer Trust
por: Chen, Chih-Cheng, et al.
Publicado: (2021) -
The Role of Green Human Resource Practices in Fostering Green Corporate Social Responsibility
por: Hameed, Rizwana, et al.
Publicado: (2022) -
Can retail investors induce corporate green innovation? -Evidence from Baidu Search Index
por: Li, Min, et al.
Publicado: (2022)