**Peer Review Journal ** DOI on demand of Author (Charges Apply) ** Fast Review and Publicaton Process ** Free E-Certificate to Each Author

Current Issues
     2026:7/2

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

Studying the relationship among vaccination for Covid-19, new tests and new deaths in USA: A DCC-EGARCH approach

Full Text (PDF)

Open Access - Free to Download

Download Full Article (PDF)

Abstract

This paper examines the time-varying conditional correlations among new deaths because of covid-19, new tests for covid-19 and new vaccination for covid-19. We apply a trivariate dynamic conditional correlation (DCC) EGARCH model to capture potential contagion effects between the markets for the period 2020-2022. Empirical results reveal contagion. Findings have crucial implications for policymakers who provide regulations for the above derivative markets and for investors, who apply massive strategies to convince the general public to be vaccinated.

How to Cite This Article

Konstantinos Tsiaras, Anna Papanikolaou, Konstantinos Poulios (2022). Studying the relationship among vaccination for Covid-19, new tests and new deaths in USA: A DCC-EGARCH approach . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 3(3), 219-225. DOI: https://doi.org/10.54660/anfo.2022.3.3.14

Share This Article: