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| Sovereign Debt Risk under Geopolitical Shocks: Spillovers and Transmission Channels |
| LUAN Xi, ZHU Huanjun, PENG Yujie, XU Qiyuan
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Institute of World Economics and Politics, Chinese Academy of Social Sciences;
Wang Yanan Institute for Studies in Economics, School of Economics, Paula and Gregory Chow Institute for Studies in Economics, Xiamen University;
School of Management and Economics, The Chinese University of Hong Kong, Shenzhen; Institute of World Economics and Politics, Chinese Academy of Social Sciences |
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Abstract Today's world is amid great changes that have not been seen in a century. The intensification of geopolitical conflicts has significantly impacted sovereign debt credit. Early literature mainly studied sovereign debt credit risk based on economic logic, with less attention on international political shocks. However, the IMF's 2023 Global Financial Stability Report emphasized that an increase in geopolitical risks would raise sovereign debt risks. Geopolitical upheavals (e.g., the Ukraine crisis in 2022) not only have an impact on the countries directly involved, but may also trigger broader economic and political changes through transnational spillovers.
By reviewing existing literature, studies on the direct impact of geopolitical shocks on sovereign debt risk are relatively abundant, but the conclusions are not consistent and still require in-depth exploration. Research on the transnational spillover effects of geopolitical shocks is relatively scarce. Furthermore, there are limitations in the literature in terms of research data, methodology, and sample size. In this context, this paper refers to Caldara and Iacoviello (2022) and improves and expands the proxy variable for geopolitical shocks based on the Dow Jones News Database. This substantial improvement avoids bias at the country level. In terms of research methodology, this paper uses the dynamic spatial Durbin model to empirically study the transnational spillover of geopolitical shocks on sovereign debt risk and its channels. When setting up the spatial distance matrix, this paper, in line with the characteristics of geopolitics, not only considers geographical distance but also pays special attention to the impact of bilateral political relations, in order to fully capture the spatial spillover information at the country level. By finding the optimal nested matrix method, the paper analyzes the spillover channels to explore which type of relationship between countries plays the most critical role in the spillover. On this basis, the paper also examines the heterogeneity of spatial spillover under different subsample groups and the spatial spillover effects of different types of geopolitical shocks on sovereign debt risk. Finally, the paper conducts robustness tests on the main conclusions to ensure the reliability of the research results.
Combining monthly data from 65 sovereign countries from 2017 to 2023, this paper finds that geopolitical shocks have a significant spatial spillover effect on the sovereign debt risk of geographical neighbors and political “neighbors,” including direct and indirect effects. According to the optimal nested matrix matching, the “entanglement” effect based on bilateral political relations is the main channel for the spatial spillover effects. By grouping samples according to whether they are NATO member countries and their trade association with Russia, it is found that the impact and spillover of geopolitical shocks on the sovereign debt risk of NATO member countries and countries with high trade association with Russia are more significant. Looking at the classification of geopolitical shocks, geopolitical actions rather than geopolitical threats are the main factors affecting sovereign debt risk and spatial spillover.
The marginal contributions of this paper are as follows:
First, it solves the bias problem of the original country-specific geopolitical risk index. Building on the research of Caldara and Iacoviello (2022), this study constructs a monthly country-specific geopolitical risk index using the Dow Jones News Database by expanding the media sample range and precisely defining news categories. This index effectively overcomes the bias, event omission, and misestimating problems caused by the original index based on a small amount of data from American newspapers and gets rid of the geopolitical narrative bias from the perspective of American media. In addition, this paper expands the sample countries to 65 sovereign states, increasing the sample size in relevant empirical research.
Second, the paper finds through the dynamic spatial Durbin model that geopolitical shocks have a more widespread country-specific mutual spillover on the sovereign debt risk of other countries. This is different from the previous literature that studied the one-way spillover of geopolitical risks in a certain country or region to other economies.
Third, this paper broadens the research perspective, depicts the important role of bilateral political relations in the spatial spillover of geopolitical shocks on sovereign debt risk, and tests the spatial spillover effects under special political relations (military alliance). By finding the optimal nested weight combination, it is discovered that the “entanglement” effect based on political relations is the main channel for risk spillover. Previously, the empirical analysis of bilateral political relations in economics mainly focused on trade investment and international aid, with less application in the areas of sovereign debt and spatial spillover effects.
Fourth, this paper constructs a country-level geopolitical risk category index according to whether actual actions are taken, referring to the global geopolitical risk category classification of Caldara and Iacoviello (2022). We further investigate the impact and spillover differences of different types of geopolitical shocks.
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Published: 01 September 2024
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