The Impact of Russia -Ukraine War on The U.S. Stock Market–Based on Event Study Methodology
DOI:
https://doi.org/10.54691/bcpbm.v32i.2959Keywords:
Russia-Ukraine war; event analysis method; SP500 index; Great consumption indexAbstract
Since Russia is important energy exporter in the world, the conflict between Russia and Ukraine became a world focus nowadays. According to former researchers’ works, we choose the event analysis method to gain an insight into the typical effect on energy sector caused by this conflict and give two hypotheses. Firstly, we propose that the event would have a negative shock on the energy career showed with volatilities of index. And then we present that the fungibility of energy industry remains the stability of returns of index and stocks. By extracting returns and volatilities of SP500 index and returns of the Great consumption index of China from Wind database, also filtrating the famous energy sector U.S. stocks based on the list in the Eastern Wealth, we prove the assumptions with examining the significance of statistics. Using the event analysis method to examine the difference of before and after the event, we get the results which indicate the significances of volatilities of SP500 index. But the returns of SP500 index, the Great consumption index of China, and U.S. stocks do not show the significance differences. Contents above prove two assumptions we mentioned before. It is honorable for us that this research might be practical to offer advice and give a little guidance for market investors.
Downloads
References
Yi X.Z., Li X., Yang H.W., Cao B.M., Xu P. L. The impact of the Russia-Ukraine conflict on the international economic and trade pattern. International Economic Review, 2022(03):9-37+4.
Chen G.J., Xu X., Zhao X. Q. Rare disaster risk and stock market return -- An empirical analysis based on the cross-sectional tail risk of individual stocks in China. Systems Engineering-Theory & Practice, 2015,35(09):2186-2199.
Hu Z.J. Macro measurement and asset pricing of tail risk in A-share market of China. Quarterly journal of finance, 2018,12(03):74-90.
Li Q.L., Zhong L.N. The logic and secondary risks of the US stock market crash.China finance, 2020(07):77-78.
Li H.Q., Hong Y.M., Wang S.Y. A study on the interaction between China's A-share market and American as well as Hong Kong stocks: from the perspective of information spillover.Economic Research Journal,2011,46(08):15-25+37.
Chen X.B., Zeng Y.F. Comparative study on the linkage effect of Chinese and American stock market and bond market -- from the perspective of tail Risk Spillover.Economic Management, 2016,38(07):1-13.
Chen X.H., Yang H.Y. Dynamic measurement and analysis of VaR and ES in stock market risk.Systems engineering, 2004(01):84-90.
Huang Y.B., Tang Z.P., Zhou X.W. Tail risk estimation based on partial t-distribution realized GARCH model.Systems Engineering-Theory & Practice,2015,35(09):2200-2208.
Jiang H., Ji J.F, Tang S.F. Research on tail risk spillover network and systemic financial risk – Multi-angle demonstration based on the TENET method.Financial Regulation Research,2021(11):1836.
Li H.J., Wang M. A study on asset price in the periods of inflation and non-inflation -- stock return as an example.Economic Vision, 2012(03):42-44.
Yang L.B. Research on the transmission mechanism of the influence of inflation rate on the volatility of Chinese stock market.Journal of Chongqing University(Social Science Edition), 2014,20(04):46-56.
Deng H.M. Research on the dynamic relationship between stock market returns and Inflation based on Bayesian Markov transformation mode.Hunan University, 2014.