U.S. economic uncertainty shocks and extreme capital flows episodes: An empirical analysis of emerging and developing economies

Xinqian Du, Tian Pu
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Abstract

We use the two-way fixed-effect panel logit model to examine the impact of U.S. economic uncertainty shocks on the probability of extreme capital flow episodes based on quarterly data from 71 emerging and developing economies from 1998Q1 to 2022Q4. According to the findings, U.S. economic uncertainty shocks has a negative effect on the probability of gross capital surges, gross capital flight, and net capital surges, and has a positive effect on the probability of gross capital sudden stops, gross capital retrenchment, and net capital sudden stops. Moreover, we find differences in the factors affecting net and gross capital flows, which are usually more closely related to earnings factors dominated by real economic growth rates. Additionally, the sample's heterogeneity is analysed in accordance with the exchange rate regimes. Our results differ from traditional views, as floating exchange rates do not act as a buffer against extreme capital flows. Finally, capital flows are classified into direct investment, other investment, and portfolio investment, and it is found that U.S. economic uncertainty shocks have a significant impact on the extreme flow episodes of other and portfolio investment.
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美国经济不确定性冲击和极端资本流动事件:对新兴经济体和发展中经济体的实证分析
我们基于71个新兴经济体和发展中经济体1998Q1至2022Q4的季度数据,采用双向固定效应面板Logit模型检验了美国经济不确定性冲击对极端资本流动事件发生概率的影响。研究结果表明,美国经济不确定性冲击对总资本激增、总资本外逃和净资本激增的概率有负向影响,对总资本突然停止、总资本缩减和净资本突然停止的概率有正向影响。此外,我们还发现影响净资本流动和总资本流动的因素存在差异,这些因素通常与实际经济增长率主导的收益因素关系更为密切。此外,我们还根据汇率制度分析了样本的异质性。我们的结果与传统观点不同,因为浮动汇率并不能对极端资本流动起到缓冲作用。最后,我们将资本流动分为直接投资、其他投资和证券投资,发现美国经济的不确定性冲击对其他投资和证券投资的极端流动事件有显著影响。
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