Spillover Effects of Cryptocurrency Volatility on Green Finance

This study investigates the risk spillover between clean and dirty cryptocurrencies and their impact on green finance indexes (solar, wind, and nuclear energy) and regional economic indexes (Baltic Dry Index and CRB Index), with data processed using the diagonal BEKK model. The results identify several dirty cryptocurrencies such as: Ethereum Cash (ETC), Litecoin (LTC), and Bitcoin (BIT) as potential diversifiers and hedges with specific green energy and economic indexes. Our findings show that news from the cryptocurrency markets predominantly have a positive, significant effect on the covariance with green finance indices. The study also presents the covolatility spillover effect, showcasing the impact of a return shock in one market, such as the cryptocurrency market or the green finance market, on the co-volatility between markets, including regional economic indices like the Baltic Dry Index and CRB Index. The analysis reveals differential spillover patterns between clean and dirty cryptocurrencies and various green finance indices, highlighting the complexity of their interactions and the varying degrees of influence on regional economic indicators.

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Publication Details

Journal
Engineering Economics
Published
2025-04-30
DOI
https://doi.org/10.5755/j01.ee.36.2.37916
Citations
1
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
3.13
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article

Spillover Effects of Cryptocurrency Volatility on Green Finance

Raluca Andreea Nerişanu, Larisa-Loredana Dragolea, Iulia Cristina Iuga
1 citations
Engineering Economics
Energy, Environment, Economic Growth
3.13
article

Spillover Effects of Cryptocurrency Volatility on Green Finance

Raluca Andreea Nerişanu, Larisa-Loredana Dragolea, Iulia Cristina Iuga
article en
1 citations

Abstract

This study investigates the risk spillover between clean and dirty cryptocurrencies and their impact on green finance indexes (solar, wind, and nuclear energy) and regional economic indexes (Baltic Dry Index and CRB Index), with data processed using the diagonal BEKK model. The results identify several dirty cryptocurrencies such as: Ethereum Cash (ETC), Litecoin (LTC), and Bitcoin (BIT) as potential diversifiers and hedges with specific green energy and economic indexes. Our findings show that news from the cryptocurrency markets predominantly have a positive, significant effect on the covariance with green finance indices. The study also presents the covolatility spillover effect, showcasing the impact of a return shock in one market, such as the cryptocurrency market or the green finance market, on the co-volatility between markets, including regional economic indices like the Baltic Dry Index and CRB Index. The analysis reveals differential spillover patterns between clean and dirty cryptocurrencies and various green finance indices, highlighting the complexity of their interactions and the varying degrees of influence on regional economic indicators.

Engineering EconomicsVol. 36(2)
Lucian Blaga University of Sibiu (RO), 1 Decembrie 1918 University (RO)
Openalex Percentile: Top 9%
Energy, Environment, Economic Growth
3.13
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