Study on The Impact of Shanghai Crude Oil Price Volatility and Stock Indices of China's Oil-related Industries
DOI:
https://doi.org/10.54097/fbem.v11i1.12022Keywords:
Shanghai crude oil futures, BEKK-GARCH, Spillover impacts.Abstract
This paper takes Shanghai crude oil futures price and the industry stock index related to it as the research object, and selects the daily data from March 26, 2018 to December 31, 2022, and adopts the BEKK-GARCH model. To explore the correlation between Shanghai crude oil futures price volatility and different segmented industry stock markets. It is found that there is a significant asymmetric volatility spillover effect effect between the vast majority of oil-related industry markets and the Shanghai crude oil market. Based on the relationship between Shanghai crude oil futures prices and oil-related industry stock indexes, investors can make investments based on the fluctuations of Shanghai crude oil futures prices, rationally study the changes in the stock prices of oil-related industries, and do not follow the market panic operations using futures to control risk. And with the oil industry chain related to a higher degree of industry, by increasing the asset allocation method, can effectively reduce risk.
Downloads
References
Jian Chai, Jie Lin, Ting Liang. A Study of Linkage between Crude Oil and Natural Gas in North American Market: Based on the Empirical Analysis of Bayesian DCC-GARCH Model and LSTAR Mode[J]. Management Review, 2021, Vol. 33(7):16-28.
Jianfeng Liu, Wenxiang He. A study on the correlation between the international crude oil market and China's stock industry sectors - an approach based on Copula model[J]. Financial Theory and Practice, 2020, (06): 79-85.
Yi-bo Hou, Lun Wang, Biao Guo. Research on Price Risk Transmission Between Crude Oil Futures Markets ——Analysis based on BEKK-GARCH model[J]. Price Theory and Practice, 2021, (10):93-97.
Sanxing Wang,Huiyu Li, Tiantian Chen, Ran Song. Analysis of risk spillover effects between international oil prices and industry stock markets[J] . Macroeconomic, 2020, (08): 166-175.
Bai, SM (Bai, Shuming), Koong, KS (Koong, KaiS). Oil prices, stock returns, and exchange rates: empirical evidence from China and the United States[J]. NorthAmerican Journal Of Economics And Finance, 2018, 44: 12-33.
Dayong Zhang. Oil shocks and stock markets revisited: measuring connectedness from a global perspective, Energy Economics, Volume 62, 2017, Pages 323-333.
Henriques, Irene, Sadorsky Perry. Voluntary environmental programs: A Canadian perspective[J]. Policy Studies Journal, 2008, 36(4): 143-166.
Juan C, Reboredo. is there dependence and systemic risk between oil and renewable energy stock prices?[J]. Energy Economics, 2015, 48(3) : 32-45.
Kumar, Surender, Managi, Shunsuke, Matsuda, Akimi. Stock prices of clean energy firms, oil and carbon markets: a vector autoregressive analysis[J Shunsuke, Matsuda, Akimi.] Energy Economics, 2012, 34(1): 215-226.
Tsuji, Chikashi. return transmission and asymmetric volatility spillovers between oil futures and oil equities: new DCC-MEGARCH analyses[J]. Economic Modelling, 2018, Vol.74(1): 167-185.
Lean Yu, Rui Zha, Dimitrios Stafylas, Kaijian He, Jia Liu. Dependences and volatility spillovers between the oil and stock markets: New evidence Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models[J]. International Review of Financial Analysis, 2020, 68: 101280.
Sinha A.K. The effect of oil price volatility on renewable energy production [D]. Washington:Graduate School of Arts and Sciences of Georgetown University, 2015.
Tarek Bouazizi, Zouhaier Hadhek, Fatma Mrad, Mosbah Lafi. Changes in Demand for Crude Oil and its Correlation with Crude Oil and Stock Market Returns Volatilities: Evidence from Three Asian Oil Importing Countries[J]. International Journal of Energy Economics and Policy, 2021, 11(3): 27-43.
Yufeng Chen, Biao Zheng, Fang Qu. Modeling the nexus of crude oil, new energy and rare earth in China: An asymmetric VAR-BEKK (DCC)-GARCH approach[J]. . Resources Policy, 2020, 65: 101545.








