2023
DOI: 10.1016/j.iref.2023.04.028
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Blockchain market and eco-friendly financial assets: Dynamic price correlation, connectedness and spillovers with portfolio implications

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Cited by 21 publications
(5 citation statements)
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References 92 publications
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“…However, it is crucial to understand the potential negative environmental implications of the blockchain market and how they can affect eco-friendly financial assets. The findings in [69] shed light on the correlation and connectedness between the blockchain market and green financial assets. Understanding these dynamics is crucial for portfolio analysis and risk management, as it provides insights into the potential transmission of shocks from the blockchain market to eco-friendly investments.…”
Section: Bibliographic Coupling Analysis Of Authorsmentioning
confidence: 85%
See 3 more Smart Citations
“…However, it is crucial to understand the potential negative environmental implications of the blockchain market and how they can affect eco-friendly financial assets. The findings in [69] shed light on the correlation and connectedness between the blockchain market and green financial assets. Understanding these dynamics is crucial for portfolio analysis and risk management, as it provides insights into the potential transmission of shocks from the blockchain market to eco-friendly investments.…”
Section: Bibliographic Coupling Analysis Of Authorsmentioning
confidence: 85%
“…The network analysis reveals the involvement of 247 authors and the formation of 17 links distributed among five clusters. Although these clusters exhibit considerable dispersion, several research co-authorships can be discerned, such as Naeem [47,68], Tiwari [52], Abakah [29,69], Bouri [70,71], and Elsayed [54]. This visual representation offers insights into the existence and characteristics of collaborative networks.…”
Section: Co-author Analysismentioning
confidence: 99%
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“…Diebold and Yilmaz [19][20][21] introduced a method to quantitatively measure spillover effects through connectedness based on the variance decomposition of vector autoregression forecast errors. Another strand of the literature utilizes the Diebold and Yilmaz [19][20][21] approach and its various extensions to study bilateral and multilateral spillovers between different assets in the commodity and stock markets [10,17,24,25,32,[47][48][49][50][51][52][53][54]. Additionally, with the decline in diversified returns in the stock market, equity investors have become more proactive in seeking hedging positions in commodity assets during turbulent periods.…”
Section: Brief Literature Reviewmentioning
confidence: 99%