Sovereign default network and currency risk premia
Abstract We construct a sovereign default network by employing high-dimensional vector autoregressions obtained by analyzing connectedness in sovereign credit default swap markets. We develop four measures of centrality, namely, degree, betweenness, closeness, and eigenvector centralities, to detect...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-05-01
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Series: | Financial Innovation |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40854-023-00485-3 |