Time-Varying Granger Causality of COVID-19 News on Emerging Financial Markets: The Latin American Case

2Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

Abstract

This study uses daily COVID-19 news series to determine their impact on financial market volatility. This paper assesses whether U.S. financial markets react differently to COVID-19 news than emerging markets and if such markets are impacted differently by country-specific and global news. To detect the spillover effects from news on market volatility, a time-varying DCC-GARCH model was applied. The results suggest that the U.S. and emerging markets are affected differently by pandemic news, global series have a stronger impact on emerging markets than country-specific ones, and misleading information plays a significant role in financial market volatility, especially for the U.S.

Cite

CITATION STYLE

APA

Coronado, S., Martinez, J. N., Gualajara, V., Romero-Meza, R., & Rojas, O. (2023). Time-Varying Granger Causality of COVID-19 News on Emerging Financial Markets: The Latin American Case. Mathematics, 11(2). https://doi.org/10.3390/math11020394

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free