Trade Conflict and Dynamic Changes in International Listed Company Stock Price: Evidence from Tesla
DOI:
https://doi.org/10.54097/hbem.v8i.7210Keywords:
China-US Trade War; Stock Market; Exchange Rate; VAR Model; ARMA-GARCH Model.Abstract
The occurrence of Sino-US trade war makes listed companies engaged in import and export trade bear two-way pull. On the one hand, the appreciation of the dollar to attract global capital into the U. S. markets, is a favorable contributing factor to rising stock prices; on the other hand, the trade protection policy of the United States has caused other countries to fight back. The increasing trade barriers have made the revenue of import and export enterprises decline, which is an unfavorable factor for stock prices. This paper selects Tesla, an international listed company, as the research object. The dynamic relationship between Tesla stock price and USD/RMB exchange rate is analyzed without any prior constraint, and then ARMA-GARCH model is constructed to simulate and predict stock return and volatility after introducing exchange rate as external explanatory variable, and based on the empirical results, puts forward reasonable and feasible suggestions for the development of international listed companies.
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References
Chong T T L, Li X. Understanding the China–US trade war: causes, economic impact, and the worst-case scenario [J]. Economic and Political Studies, 2019, 7(2): 185-202.
Bhandari R S, Bansal S, Dhillon L K. Understanding Sino–US Trade War: An American Government Perspective [J]. Manag Econ Res J, 2019, 5(2019): 11128.
Itakura K. Evaluating the impact of the US–China trade war [J]. Asian Economic Policy Review, 2020, 15(1): 77-93.
Amiti M, Kong S H, Weinstein D. The effect of the US-China trade war on US investment[R]. National Bureau of Economic Research, 2020.
Bekaert G, Hoerova M, Duca M L. Risk, uncertainty and monetary policy [J]. Journal of Monetary Economics, 2013, 60(7): 771-788.
Bernanke B S, Kuttner K N. What explains the stock market's reaction to Federal Reserve policy? [J]. The Journal of finance, 2005, 60(3): 1221-1257.
Ugurlu‐Yildirim E, Kocaarslan B, Ordu‐Akkaya B M. Monetary policy uncertainty, investor sentiment, and US stock market performance: New evidence from nonlinear cointegration analysis [J]. International Journal of Finance & Economics, 2021, 26(2): 1724-1738.
Coffin D. China’s Growing Role in US Automotive Supply Chains. Office of Industries[R]. Working Paper ID-060, Elokuu 2019. https://www. usitc. Gov/publications/332/working_papers/id-19-060_chinese_auto_parts_final_080519-compliant_0. Pdf, 2019.
Schultz M, Dziczek K, Swiecki B, et al. Trade briefing: Consumer impact of potential US Section 232 tariffs and quotas on imported automobiles & automotive parts [J]. Ann Arbor, MI: Center for Automotive Research, 2018. [EB/OL]. https://baike.baidu.com/item/Choice%E9%87%91%E8%9E%8D%E7%BB%88%E7%AB%AF/24685525.2022.2.24-2022.9.11.
Lopez J H. The power of the ADF test [J]. Economics Letters, 1997, 57(1): 5-10.
Juselius K. The cointegrated VAR model: methodology and applications [M]. Oxford university press, 2006.
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