We investigate the effect of network centrality on idiosyncratic sovereign risk during oil price bubbles by constructing a high-dimensional network based on the data of 60 sovereign credit default swaps over 12 years. By specifying four types of centrality-degree, betweenness, closeness, and eigenvector-for each node in the network, we determine that idiosyncratic sovereign risk increases during oil bust periods and decreases during oil boom periods. We also identify the core-periphery structure of the sovereign default network, which leads to an asymmetric effect on idiosyncratic sovereign risks across bubble episodes. Our findings demonstrate that idiosyncratic sovereign risk transforms into systematic sovereign risk during oil price boom periods and that idiosyncratic contagion occurs during oil price bust periods. Our results emphasize the importance of sovereign default networks in the transmission of idiosyncratic sovereign risk and systematic sovereign risk across bubble episodes.
机构:
Nanjing Univ Informat Sci & Technol, Sch Management Engn, Dept Finance, Nanjing, Peoples R China
Nanjing Yangzi State owned Investment Grp Co Ltd, Postdoctoral Mobile Stn, Nanjing, Peoples R ChinaNanjing Univ Informat Sci & Technol, Sch Management Engn, Dept Finance, Nanjing, Peoples R China
Zhang, Xu
Yang, Xian
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Nanjing Univ Informat Sci & Technol, Sch Management Engn, Dept Finance, Nanjing, Peoples R ChinaNanjing Univ Informat Sci & Technol, Sch Management Engn, Dept Finance, Nanjing, Peoples R China
Yang, Xian
Li, Jianping
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Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
Univ Chinese Acad Sci, MOE Social Sci Lab Digital Econ Forecasts & Policy, Beijing, Peoples R ChinaNanjing Univ Informat Sci & Technol, Sch Management Engn, Dept Finance, Nanjing, Peoples R China
Li, Jianping
Hao, Jun
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Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
Univ Chinese Acad Sci, MOE Social Sci Lab Digital Econ Forecasts & Policy, Beijing, Peoples R ChinaNanjing Univ Informat Sci & Technol, Sch Management Engn, Dept Finance, Nanjing, Peoples R China