经济
波动性(金融)
2019年冠状病毒病(COVID-19)
大流行
计量经济学
向量自回归
医学
内科学
传染病(医学专业)
疾病
作者
Zaghum Umar,Francisco Jareño,Ana Escribano
出处
期刊:Studies in Economics and Finance
[Emerald (MCB UP)]
日期:2022-07-27
卷期号:40 (2): 313-333
被引量:10
标识
DOI:10.1108/sef-01-2022-0045
摘要
Purpose This paper aims to examine the dynamic return and volatility connectedness for six major industrial metals (tin, lead, nickel, zinc, copper and aluminium) and the coronavirus media coverage index (MCI). Design/methodology/approach To that purpose, this study applies the fresh time-varying parameter vector autoregression methodology (TVP–VAR model) during the sample period between 2 January, 2020, and 16 April, 2021, that is, covering the three waves of the COVID-19 pandemic crisis. Findings This study’s results show interesting findings. First, dynamic total return and volatility connectedness changes over time, highlighting a significant increase during the third wave of the pandemic. Second, the MCI index is a leading net transmitter in terms of return and volatility at the introduction of the SARS-CoV-2 coronavirus crisis. Third, this study clearly distinguishes two profiles among industrial metals: copper and tin/zinc as net transmitters and lead and aluminium as net receivers. Finally, the most relevant differences between them are concentrated not only at the beginning of the COVID-19 pandemic (first wave) but also during the second and third waves of the coronavirus outbreak. Originality/value To the best of the authors’ knowledge, this is the first research that explores the dynamic return and volatility connectedness in the industrial metal market, applying the TVP–VAR methodology during the first waves of the COVID-19 pandemic crisis.
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