Predictive power of oil prices on CDS spread dynamics of oil-producing countries

IF 13.6 2区 经济学 Q1 ECONOMICS Energy Economics Pub Date : 2025-03-19 DOI:10.1016/j.eneco.2025.108375
Christoph Wegener , Tobias Basse , Stefano Maiani , Tam Huu Nguyen
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Abstract

This paper employs predictive regressions to explore the predictability of sovereign Credit Default Swap (CDS) spread dynamics of relevant oil-producing countries. By incorporating oil prices and additional control variables, we predict the rate of CDS spread changes for Brazil, the UK, Malaysia, Norway, Qatar, Russia, Saudi Arabia, the US, and Venezuela. Our findings reveal that (i) the empirical coefficients of determination (R2) indicate low in-sample predictability for our entire period of analysis (2010–2024), the R2 increases markedly when dividing the analysis period into more relevant sub-samples (2010–2016 and 2016–2024); (ii) oil prices are not significant predictors for the full period but become significant in many regressions within sub-samples; (iii) for countries where oil prices are significant in both sub-samples, the coefficient sign changes from negative to positive, suggesting that in more recent years, rising (falling) oil prices signal increasing (decreasing) geopolitical risk, positively (negatively) influencing CDS spreads.
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来源期刊
Energy Economics
Energy Economics ECONOMICS-
CiteScore
18.60
自引率
12.50%
发文量
524
期刊介绍: Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.
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