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Quantile return and volatility spillovers and drivers among energy, electricity, and cryptocurrency markets

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成果类型:
期刊论文
作者:
Jiang, Dongming;Jia, Fang;Han, Xiaoyu
通讯作者:
Han, XY
作者机构:
[Jiang, Dongming] Guangzhou Coll Technol & Business, Coll Accounting, Guangzhou, Peoples R China.
[Jia, Fang] Wuhan Polytech Univ, Sch Management, Wuhan 430023, Peoples R China.
[Han, Xiaoyu] Wuhan Text Univ, Sch Accountancy, Wuhan 430020, Peoples R China.
通讯机构:
[Han, XY ] W
Wuhan Text Univ, Sch Accountancy, Wuhan 430020, Peoples R China.
语种:
英文
关键词:
Return and volatility spillovers;Energy;Electricity;Cryptocurrency;QVAR
期刊:
Energy Economics
ISSN:
0140-9883
年:
2025
卷:
144
页码:
108307
基金类别:
CRediT authorship contribution statement Dongming Jiang: Writing – review & editing, Writing – original draft, Visualization, Validation, Software, Resources, Project administration, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. Fang Jia: Writing – review & editing, Writing – original draft, Supervision, Investigation, acquisition, Formal analysis, Conceptualization. Xiaoyu Han: Writing – review & editing, Writing – original draft, Supervision, Software, Methodology, Investigation, Formal
机构署名:
本校为其他机构
院系归属:
管理学院
摘要:
Over the past decade, the cryptocurrency market has experienced significant growth. However, the dynamics of risk spillover between various types of cryptocurrencies and the electricity market, as well as energy markets, under different quantile conditions remain ambiguous. To address this gap, this paper utilizes the Quantile Vector Autoregression (QVAR) model to examine the returns and volatility spillovers among energy (fossil and clean energy), the electricity market, and cryptocurrencies (clean and dirty cryptocurrency) markets across varying quantile conditions. Additionally, this paper ...

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