Inner composition alignment networks reveal financial impacts of COVID-19

We show that inner composition alignment networks derived for financial time-series data, studied in response to worldwide lockdown imposed in response to COVID-19 situation, show distinct patterns before, during and after lockdown phase. It is observed that significant couplings between companies a...

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Detalles Bibliográficos
Autores principales: Upadhyay, Shashankaditya, Mukherjee, Indranil, Panigrahi, Prasanta K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707026/
https://www.ncbi.nlm.nih.gov/pubmed/36465189
http://dx.doi.org/10.1016/j.physa.2022.128341

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707026/
https://www.ncbi.nlm.nih.gov/pubmed/36465189
http://dx.doi.org/10.1016/j.physa.2022.128341

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