Measuring the impact of the EU health emergency response authority on the economic sectors and the public sentiment
Daniel Felix Ahelegbey,
Alessandro Celani and
Paola Cerchiello
Socio-Economic Planning Sciences, 2024, vol. 92, issue C
Abstract:
We present the main findings of an extensive quantitative analysis aimed at quantifying the correlated risk and the effects, on the most important economic sectors, of the Covid-19 pandemic and of a list of actions undertaken at the EU level. The considered data relates to the time series of equities and public sentiment of 89 top-listed companies from EuroStoxx 600. We show the relevant impact of the events both at the companies and sector levels. The results show that the actions produce an effect on the economic sector differentiated in terms of magnitude and reaction times.
Keywords: Covid-19; Sentiment; Networks; SVAR; Bayesian graphical models; Risk analysis (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0038012124000417
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:92:y:2024:i:c:s0038012124000417
DOI: 10.1016/j.seps.2024.101842
Access Statistics for this article
Socio-Economic Planning Sciences is currently edited by Barnett R. Parker
More articles in Socio-Economic Planning Sciences from Elsevier
Bibliographic data for series maintained by Catherine Liu ().