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

IF 14.2 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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石油价格对产油国CDS价差动态的预测能力
本文采用预测回归方法探讨了相关产油国主权信用违约互换(CDS)价差动态的可预测性。通过结合油价和其他控制变量,我们预测了巴西、英国、马来西亚、挪威、卡塔尔、俄罗斯、沙特阿拉伯、美国和委内瑞拉的CDS价差变化率。研究发现:(1)实证决定系数(R2)表明整个分析期(2010-2024年)的样本内可预测性较低,当将分析期划分为更相关的子样本(2010-2016年和2016-2024年)时,R2显著增加;(ii)油价在整个时期内不是显著的预测因子,但在子样本内的许多回归中变得显著;(iii)对于油价在两个子样本中都很重要的国家,系数符号从负变为正,表明近年来,油价上涨(下跌)表明地缘政治风险增加(减少),正(负)影响CDS价差。
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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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