Time and frequency connectedness and portfolio diversification between cryptocurrencies and renewable energy stock markets during COVID-19

Li, Zijian; Meng, Qiaoyu

doi:10.1016/j.najef.2021.101565

Cited by 46 publications

(20 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… 10 This section of the literature also includes studies dealing with connectedness of cryptocurrencies with other assets during the Covid-19 crisis period, such as gold (Gonzalez et al 2021), equity markets ( Goodell and Goutte, 2021 ) and renewable energy stock markets ( Li and Meng, 2022 ). …”

mentioning

confidence: 99%

Cryptocurrency market connectedness in Covid-19 days and the role of Twitter: Evidence from a smooth transition regression model

Giannellis

2022

Research in International Business and Finance

View full text Add to dashboard Cite

mentioning

confidence: 99%

Cryptocurrency market connectedness in Covid-19 days and the role of Twitter: Evidence from a smooth transition regression model

Giannellis

2022

Research in International Business and Finance

View full text Add to dashboard Cite

“…As such,Shah et al (2021) documented for Denmark that pandemic has a multiplier effect along with a harmful impact on renewable energy production. With reference to shocks propagation,Tiwari et al (2022) found that clean energy transmits the highest value of shocks to other markets Li and Meng (2022). confirmed that renewable energy stocks are the primary contributors in the analyzed connectedness system Mensi et al (2022).…”

mentioning

confidence: 65%

“…With reference to shocks propagation, Tiwari et al ( 2022 ) found that clean energy transmits the highest value of shocks to other markets. Li and Meng ( 2022 ) confirmed that renewable energy stocks are the primary contributors in the analyzed connectedness system. Mensi et al ( 2022 ) reported that return spillovers to the crude oil (gold) market are mostly transmitted through energy (basic resource) sectors.…”

Section: Background Literaturementioning

confidence: 82%

Modeling the impact of the COVID‐19 outbreak on environment, health sector and energy market

Armeanu

Gherghina

Vasile

et al. 2022

Sustainable Development

View full text Add to dashboard Cite

The global outbreak of COVID‐19 disease had a significant impact on the entire globe. Such a notable public health event can be seen as a “black swan” that brings unpredictable and unusual forces into the economic context and that it could typically lead to a chain of adverse reactions and market disruptions. Hence, the purpose of this study is to examine how COVID‐19 affects the environment, health, and the oil and energy markets. To achieve this objective, we used daily data for several measures that refer to the environment, health, and oil and energy, for the first wave of the COVID‐19 pandemic (December 31, 2019–May 22, 2020). The variable integration mix led to the approach of the ARDL model, and the Granger causality test was also employed. These empirical techniques allowed us to examine the cointegration between variables and causal relationships. The econometric results of the ARDL models exhibited that the global new cases and new deaths of COVID‐19 have short and long‐term effects on the environment, the health sector, the oil, and energy measures. However, no significant causal connection was found between the pandemic and the environment, the health sector, or the oil and energy industry, according to the Granger causality test. The uniqueness of current approach consists in the investigation of pandemic impact on the health, environment, oil, and energy sector by applying the ARDL model that permits the analysis of cointegration both in the long run and in the short term. This study provides important insights for investors and policy makers.

show abstract

“…, 2021). Specifically, Li and Meng (2022) utilize weekly data from 2015 to 2021 to document that the connectedness system’s main spillover contributors are renewable energy stocks. Short-run spillovers dominate their long-run counterparts.…”

Section: Emerging Themesmentioning

confidence: 99%

“…Generally speaking, the total connectedness of 21st-century technology assets and traditional common stocks is high; hence, in a turbulent economy, there is a high probability of contemporaneous losses (Le et al, 2021). Specifically, Li and Meng (2022) utilize weekly data from 2015 to 2021 to document that the connectedness system's main spillover contributors are renewable energy stocks. Short-run spillovers dominate their long-run counterparts.…”

Section: Fintech and Cryptocurrencies Spilloversmentioning

confidence: 99%

The link and spillovers between clean energy and fossil fuels market: a systematic literature review

Xia

2022

JAL

View full text Add to dashboard Cite

PurposeThe global transition into clean energy demands a re-examination of the link between fossil fuels and clean energy markets. This paper aims to identify the key research areas about clean energy and fossil fuels and outlines emerging themes for future research.Design/methodology/approachThis paper uses bibliographic mapping to identify the most influential publications among 500 articles published between 1991 and 2022 (as of March 2022). The first step is the identification of literature for inclusion and data cleaning. Next is producing a citation map using Bibliometrix for analysis and synthesis.FindingsThe research on clean energy and fossil fuels has developed into three areas by examining their dynamic causality, return/risk spillovers, and volatility spillovers. However, pr evious studies focus on the oil and clean energy market, and limited studies examine the market linkage. As a result, market linkage presents a challenge in front of energy transition into a green economy.Originality/valueThis paper makes a clear contribution to the literature by identifying the important existing and emerging research areas on the clean energy and fossil fuels market.

show abstract

Time and frequency connectedness and portfolio diversification between cryptocurrencies and renewable energy stock markets during COVID-19

Cited by 46 publications

References 63 publications

Cryptocurrency market connectedness in Covid-19 days and the role of Twitter: Evidence from a smooth transition regression model

Cryptocurrency market connectedness in Covid-19 days and the role of Twitter: Evidence from a smooth transition regression model

Modeling the impact of the COVID‐19 outbreak on environment, health sector and energy market

The link and spillovers between clean energy and fossil fuels market: a systematic literature review

Contact Info

Product

Resources

About