The Volatilities of Chinese and American Trade with Africa: Which Country’s Trade Volatility is the Most Influential?

Adesola Ibironke
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Abstract

Abstract This paper examines the relative influence of the volatilities of Chinese and American trade with Africa, by exploring the volatilities, their comovements, and four potential international drivers that can increase or decrease the volatilities. The drivers considered are Euro Area’s trade with Africa; U.S. recessions; economic globalization; and fluctuations in China’s economy. The paper employs the dynamic conditional correlation (DCC-) generalized autoregressive conditional heteroscedasticity (GARCH) model and monthly data spanning 1970M1 to 2020M07. The results show that, without controlling for drivers, the volatilities of Chinese and American trade with Africa are quite high, with similar magnitudes and significant comovements. When drivers are controlled for, Euro Area’s trade does not influence the volatilities significantly. However, America’s recessions make Chinese trade volatility to become higher, while economic globalization makes it to become lower, relative to America’s trade volatility. These results imply that Chinese trade volatility is more influential than America’s trade volatility, due to two international drivers. Furthermore, fluctuations in China’s economy significantly influence the trade volatility of China itself and the trade volatility of the bigger economy, the U.S., which confirms China’s significant international influence. One of the key policy implications of these findings is that globalization does not necessarily increase trade volatility in all contexts. This paper provides new evidence that in the context of a single trade market, globalization is an antidote of trade volatility because it involves the availability of diverse markets across the global economy, which consequently reduces the panic of traders within the single market.
中美对非贸易波动:哪个国家的贸易波动影响最大?
摘要本文探讨了中美对非贸易波动的相对影响,探讨了波动及其变动,以及可能增加或减少波动的四个潜在国际驱动因素。考虑的驱动因素是欧元区与非洲的贸易;美国经济衰退;经济全球化;以及中国经济的波动。本文采用动态条件相关(DCC-)广义自回归条件异方差(GARCH)模型和1970 - 2007年的月数据。结果表明,在不控制驱动因素的情况下,中美对非贸易波动幅度相当大,且波动幅度相似,波动幅度较大。当驱动因素受到控制时,欧元区的贸易对波动率没有显著影响。然而,相对于美国的贸易波动,美国的经济衰退使得中国的贸易波动变得更高,而经济全球化使得中国的贸易波动变得更低。这些结果表明,由于两个国际驱动因素,中国的贸易波动比美国的贸易波动更有影响力。此外,中国经济的波动显著影响着中国自身的贸易波动以及更大经济体美国的贸易波动,这证实了中国具有重大的国际影响力。这些发现的一个关键政策含义是,全球化并不一定会在所有情况下增加贸易波动。本文提供了新的证据,证明在单一贸易市场的背景下,全球化是贸易波动的解药,因为它涉及到全球经济中不同市场的可用性,从而减少了单一市场内交易者的恐慌。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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