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

MATHEMATICS(2023)

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摘要
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.
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关键词
COVID-19 news,volatility,granger causality,time-varying,time series,financial markets
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