Preliminary Research on the Impact of Geopolitical Risks on Crude Oil Prices in the Chinese Market
DOI:
https://doi.org/10.54097/rtsgjc66Keywords:
Geopolitical risk, VAR model, BDS test.Abstract
As an emerging economy, China has maintained a high growth rate in crude oil consumption due to its rapid economic development. The average year-on-year growth rate in the past 30 years is far higher than the overall world average. The listing of SC crude oil futures in Shanghai marks a new stage for the emerging Chinese crude oil market, which also faces various challenges. In today's world, local wars occur from time to time, geopolitical conflicts never stop, and political undercurrents are surging. In such a situation, what kind of impact will the Chinese crude oil market face? How much is the impact of geopolitical risks on crude oil returns and volatility? This has significant practical implications for both investors and policy makers. The impact of geopolitical risks on the returns of China's crude oil market was obtained by attempting to establish a VAR model and further conducting BDS tests on the residual term. The impact relationship is nonlinear and complex.
Downloads
References
Morana C. A semiparametric approach to short-term oil price forecasting [J]. Energy Economics, 2001, 23(3):325-338.
Alquist R, Kilian L, Vigfusson R J. Forecasting the price of oil [J]. Handbook of Economic Forecasting, 2011, 2:427-507.
Yin L, Yang Q. predicting the oil prices: Do technical indicators help? [J]. Energy Economics, 2016, 56(5): 338-350.
Zhang Y, Wang J. Do high-frequency stock market data help forecast crude oil prices? Evidence from the MIDAS models [J]. Energy Economics, 2019, 78(2):192-201.
Ma F, Liu J, Wahab M, Zhang Y. Forecasting the aggregate oil price volatility in a data rich environment [J]. Economic Modelling, 2018, 72: 320-332.
Zhang Y, Ma F, Wang Y. Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors? [J]. Journal of Empirical Finance, 2019, 54:97-117.
Caldara D, Iacoviello M. Measuring Geopolitical Risk. Working Papers -- US Federal Reserve Board’s International Finance Discussion Papers[R]. February 2018:1-47.
Cunado J, Gupta R, Lau CKM, Sheng X. Time-Varying Impact of Geopolitical Risks on Oil Prices [J]. Defence & Peace Economics.2020; 31(6):692-706.
Plakandaras V, Gupta R, Wong W-K. Point and density forecasts of oil returns: The role of geopolitical risks [J]. Resources Policy. 2019,62:580-587.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






