Abstract
This study applies the spatial Durbin model to analyse the extent to which international trade and geographical proximity affect the stability of African sovereign-debt markets. Using sovereign credit default swap spreads, our empirical findings show that it is not only a country's macroeconomic fundamentals that influence its likelihood of default but also contagion from other countries. Trade linkages are found to be a strong transmission channel for contagion risk, especially among countries that trade heavily. A decomposition of the results demonstrates that at least 60% of the variation in credit default swap spread changes is attributed to spillovers through the trading channel. A change in the weighting matrix to geographical proximity confirms the baseline findings that an African country's debt market is susceptible to macroeconomic events in other countries.
| Original language | English |
|---|---|
| Pages (from-to) | 506-536 |
| Number of pages | 31 |
| Journal | International Finance |
| Volume | 23 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Dec 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 17 Partnerships for the Goals
Keywords
- Africa
- contagion
- sovereign debt
- spatial econometrics
ASJC Scopus subject areas
- Geography, Planning and Development
- Development
- Finance
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