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Dynamic exchange rate dependences: The effect of the U.S.-China trade war

机译:动态汇率依赖性:美国 - 中国贸易战的效果

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Since March 2018 the United States and China have been locked in a trade confrontation featured by huge retaliatory tariffs. This paper investigates the impact of the U.S.-China trade war on the dynamic dependences of Chinese Yuan (CNY) and the currencies of its major trade partners merging a generalized autoregressive score-driving (GAS) model and the copula approach. The GAS framework is used to capture the marginal distributions of each exchange rate return series and then to estimate the dynamic copula correlation between CNY and major trading currencies. We document intra-regional currency contagions that the dependences of KRW-CNY and SGD-CNY have increased and remained at high levels, whereas the dependence of JPY-CNY is reduced after the breakout of the trade war. The dependences of AUD-CNY and EUR-CNY also increase in the post-war period. Appreciations in the USD against target currency and the downside risk of the global economy caused by the trade war are possible factors driving changes in exchange rates and dependences between CNY and currencies of major trade partners. (c) 2020 Elsevier B.V. All rights reserved.
机译:自2018年3月以来,美国和中国已被锁定在巨大的报复性关税中的贸易对抗。本文调查了美国 - 中国贸易战争对中国人民币(CNY)动态依赖的影响,以及其主要贸易伙伴的货币合并了一般性的自动评分驾驶(天然气)模型和拷贝方法。气体框架用于捕获每个汇率返回系列的边缘分布,然后估计CNY和主要交易货币之间的动态谱相关性。我们记录了区域内汇率调查,即KRW-CNY和SGD-CNY的依赖性增加并保持在高水平,而JPY-CNY的依赖在贸易战的突破后减少。 AUD-CNY和EUR-CNY的依赖也会增加战后期间。股票抵御目标货币的升值以及贸易战造成的全球经济的下行风险是可能的因素,促进了主要贸易伙伴的CNY和货币之间的汇率和依赖性的变化。 (c)2020 Elsevier B.v.保留所有权利。

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