4.7 Article

Intraday volatility transmission among precious metals, energy and stocks during the COVID-19 pandemic

期刊

RESOURCES POLICY
卷 72, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.resourpol.2021.102101

关键词

COVID-19; Financial markets; High frequency; Volatility spillovers; Connectedness network

资金

  1. Science Foundation Ireland [16/SPP/3347]
  2. Science Foundation Ireland (SFI) [16/SPP/3347] Funding Source: Science Foundation Ireland (SFI)

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This study presents evidence of significant changes in volatility linkages among financial markets in the US economy during the COVID-19 outbreak, with volatility connectedness peaking among different assets. High frequency trading data and complex models were used to analyze these volatility interconnections.
In this study, we present the evidence of dramatic changes in the structure and time-varying patterns of volatility connectedness across equities and major commodities (oil, gold, silver and natural gas) in the US economy before and during the COVID-19 outbreak. We utilize high frequency 5-min trading data of most actively traded US ETFs to construct the volatility connectedness network. We compute the intraday volatility estimates using MCS-GARCH model and then employ Diebold and Yilmaz (2012) spillover index approach to approximate volatility spillovers between the financial markets. Our main findings showcase significant impact of COVID-19 pandemic on the volatility linkages of financial markets as the volatility connectedness among the different assets peaked during the outbreak. Other findings and implications of the study are further discussed.

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