Assessing the impacts of global economic policy uncertainty and the long-term bond yields on oil prices. Issue 87 (29th January 2021)

• Record Type: Journal Article
• Authors: Ozcelebi, Oguzhan
• Is Part Of: Applied economic analysis. Volume 29:Issue 87(2021)
• Page Start: 226
• Page End: 244
• Publication Date: 2021-01-29
• Subjects: Oil prices -- Global economic policy uncertainty -- Long-term government bond yields -- Nonlinear VAR -- Quantile-based analysis; Economics -- Periodicals; Economics -- Research -- Periodicals; 330.05
• DOI: 10.1108/AEA-05-2020-0046
• Languages: English
• ISSNs: 2632-7627

Abstract

Abstract : Purpose: Might the impact of the global economic policy uncertainty (GEPU) and the long-term bond yields on oil prices be asymmetric? This paper aims to consider the effects of the GEPU and the US long-term government bond yields on oil prices using quantile-based analysis and nonlinear vector autoregression (VAR) model. The author hypothesized whether the negative and positive changes in the GEPU and the long-term bond yields of the USA have different effects on oil prices. Design/methodology/approach: To address this question, the author uses quantile cointegration model and the impulse response functions (IRFs) of the censored variable approach of Kilian and Vigfusson (2011). Findings: The quantile cointegration test showed the existence of non-linear cointegration relationship, whereas Granger-causality analysis revealed that positive/negative variations in GEPU will have opposite effects on oil prices. This result was supported by the quantile regression model's coefficients and nonlinear VAR model's IRFs; more specifically, it was stressed that increasing/decreasing GEPU will deaccelerate/accelerate global economic activity and thus lead to a fall/rise in oil prices. On the other hand, the empirical models indicated that the impact of US 10-year government bond yields on oil prices is asymmetrical, while it was found that deterioration in the borrowing conditions in the USA may have an impact on oil prices by slowing down the global economic activity. Originality/value: As a robustness check of the quantile-based analysis results, the slope-based Mork test is used.