Research of the non-linear dynamic relationship between global economic policy uncertainty and crude oil prices

Mengqi Gong, Zhe You, Longle Wang and Dapeng Ruan

Journal of Asian Economics, 2024, vol. 90, issue C

Abstract: This paper examines the relationship between global economic policy uncertainty (GEPU, Global economic policy uncertainty refers to the fact that market actors cannot accurately predict whether the government will change the current economic policy, if so, when the government will make changes, and what the content of the current policy changes will be. These are difficult for economic actors to accurately predict.) and crude oil prices from a global perspective within a non-linear analytical framework. Firstly, the non-linear dynamic trends between GEPU and WTI (West Texas Intermediate) crude oil prices are examined using the VAR-filtered BDS test, followed by the test of the non-linear Granger causality, which shows significant non-linear causal relationship between GEPU and WTI oil prices. Further, this paper use threshold vector autoregressive model (TVAR) and threshold vector error correction model (TVECM) to analysis the long-term and short-term non-linear dynamic adjustment processes between GEPU and WTI oil prices, the result shows that there is an optimal threshold between GEPU and WTI. In the low global economic policy uncertainty regime, the relationship between GEPU and WTI is mutually beneficial, while in the high global economic policy uncertainty regime, the relationship between GEPU and WTI is mutually inhibited. Meanwhile, the TVECM results show that in the first regime, GEPU adjusts towards equilibrium at a faster rate, while in the second regime, WTI adjusts towards equilibrium at a faster rate.

Keywords: Global economic policy uncertainty; Crude oil prices; Non-linearity; TVAR; TVECM (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:asieco:v:90:y:2024:i:c:s1049007823000933

DOI: 10.1016/j.asieco.2023.101673

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