2020
DOI: 10.1016/j.frl.2020.101554
|View full text |Cite
|
Sign up to set email alerts
|

The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrencies

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

17
360
1
3

Year Published

2020
2020
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 681 publications
(381 citation statements)
references
References 34 publications
17
360
1
3
Order By: Relevance
“…The limited number of papers produces a quantitative estimation of Covid-19 impact on economic activities including financial markets. Such studies include; Baker et al (2020) examines the impact of Covid-19 on the US stock market relative to the previous infectious disease outbreak , Corbet, Larkin, and Lucey (2020) investigated the contagion effect of Covid-19 between stock markets in China, Ali, Alam, and Rizvi (2020) analyzed financial markets downfall and volatility, Corbet, Hou, Hu, Lucey, and Oxley (2020) examines the impact on companies whose identity is similar with Covid-19 virus, Shehzad, Xiaoxing, and Kazouz (2020) However, to the best of my attentiveness, none of these literature has attempted to investigate the magnitude and direction of financial innovations spillover during Covid-19 pandemic, apart from Akhtaruzzaman et al (2020).…”
Section: Asian Development Policy Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…The limited number of papers produces a quantitative estimation of Covid-19 impact on economic activities including financial markets. Such studies include; Baker et al (2020) examines the impact of Covid-19 on the US stock market relative to the previous infectious disease outbreak , Corbet, Larkin, and Lucey (2020) investigated the contagion effect of Covid-19 between stock markets in China, Ali, Alam, and Rizvi (2020) analyzed financial markets downfall and volatility, Corbet, Hou, Hu, Lucey, and Oxley (2020) examines the impact on companies whose identity is similar with Covid-19 virus, Shehzad, Xiaoxing, and Kazouz (2020) However, to the best of my attentiveness, none of these literature has attempted to investigate the magnitude and direction of financial innovations spillover during Covid-19 pandemic, apart from Akhtaruzzaman et al (2020).…”
Section: Asian Development Policy Reviewmentioning
confidence: 99%
“…For instance, Diebold and Yilmaz (2012) analyzed financial assets markets interaction across the US. Similarly, Klößner and Wagner (2014) spillover between markets, Kumar (2013) returns and volatility spillover, Cronin (2014) examines the relationship between money and financial assets markets in the US, Klößner and Sekkel (2014) financial spillover for six developed countries, Antonakakis and Vergos (2013) Yilmaz (2012) (ii) it is insensitive to order, hence, provides decisive results, (iii) it quantifies directional spillover, total spillover, net spillover, and pairwise spillover, (iv), it summaries the spillover in a single number, so, it is easy to interpret. According to Urbina (2013) 3 this method provides an assessment of spillover that not only stemming from an unstable period but also a stable period.…”
Section: Asian Development Policy Reviewmentioning
confidence: 99%
“…Recent research studies have emerged that involve the impact of COVID-19 on the financial market, including cryptocurrencies [1][2][3][4][5][6][7][8]. It was illustrated that Bitcoin is not a safe haven [1,2].…”
Section: Introductionmentioning
confidence: 99%
“…It was illustrated that Bitcoin is not a safe haven [1,2]. A correlation between Bitcoin and the stock market is observed in [3,4]. In [5], authors performed a dynamic correlation analysis that illustrated that Bitcoin could not hedge the US stocks' extraordinary tail risk.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, many studies have used high-frequency data in the analysis of financial markets, which could also be explored to analyze the effects of Covid (Corbet et al 2020). Despite the interest of using high-frequency data, even in the context of Econophysics methods to study financial markets' multiscale and multifractality behaviors, it is also important to take into account the quality of big data, in particular, that of high frequency data.…”
mentioning
confidence: 99%