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Multilayer network analysis for measuring the inter-connectedness between the oil market and G20 stock markets

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成果类型:
期刊论文
作者:
Dai, Zhifeng;Tang, Rui;Zhang, Xinhua
通讯作者:
Zhang, XH
作者机构:
[Dai, Zhifeng; Tang, Rui] Changsha Univ Sci & Technol, Coll Math & Stat, Hunan 410114, Peoples R China.
[Dai, Zhifeng; Zhang, Xinhua] Changsha Univ Sci & Technol, Sch Econ & Management, Hunan 410114, Peoples R China.
通讯机构:
[Zhang, XH ] C
Changsha Univ Sci & Technol, Sch Econ & Management, Hunan 410114, Peoples R China.
语种:
英文
关键词:
Multilayer networks;Connectedness;System risk;Oil market
期刊:
Energy Economics
ISSN:
0140-9883
年:
2023
卷:
120
页码:
106639
基金类别:
National Natural Science Foundation of China [71771030, 72171027]; Natural Science Foundation of Hunan Province [22YJA790011]; Ministry of Education Humanities and Social Sciences Project; [2021JJ30025]
机构署名:
本校为第一且通讯机构
院系归属:
经济与管理学院
数学与统计学院
摘要:
We constructed a multilayer information spillover network containing a return spillover layer, a volatility spillover layer, and an extreme risk spillover layer to explore the system risk in the oil and G20 stock markets during 2006–2022. This paper explores the topology of the static and dynamic multilayer networks from both system-level and market-level perspectives. We find that: (i) At the system-level, the structure of layers is significantly different from each other, and risk is transmitted mainly in the volatility spillover layer. In t...

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