Abstract:Since its establishment in 2018, the association between the Shanghai crude oil futures market and the risk volatility of China’s stock market has become more and more obvious. Different from previous studies that focus more on the overall stock market, we investigate the risk spillover effects from the Shanghai crude oil futures market to the industries in China from the industry dimension in this paper. The 5-minute returns of ten first-level industry indices of the Shanghai Stock Exchange for the period from September 1, 2019, to September 1, 2022, are selected, we introduce the GAS model to make up for the shortcomings of the GARCHs model, and we establish the MIDAS-Copula-CoVaR model to measure the conditional risk of each industry as well as the risk spillover effects it carries. The results show that, first, the Copula model containing the MIDAS structure fits better, which fully demonstrates the importance of incorporating high-frequency data. Second, the upside risk of each industry conditional on the Shanghai crude oil futures market is significantly larger than the downside risk, showing a more obvious asymmetry, which indicates that the oil price increases have a greater impact on each industry. Third, in terms of industries, the falling Shanghai crude oil futures prices have the greatest impact on the energy industry and the smallest impact on the utility industry, while rising prices have the greatest impact on the medical industry and the smallest impact on the financial industry. Fourth, compared to normal cases, extreme upside risk has the largest risk spillovers for the medical industry and the smallest for the consumer industry, and extreme downside risk has the largest risk spillovers for the optional industry and the smallest for the financial industry.

Key words:hanghai crude oil futures market,GAS model,mixed Data sampling,risk spillovers