汇率变动与j曲线效应:来自五个新兴市场经济体的不对称证据

IF 1.1 Q4 BUSINESS
W. A. Parray, Javed Ahmad Bhat, Effat Yasmin, S. Bhat
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引用次数: 0

摘要

使用混合平均群估计器的对称和非对称规格,我们试图仔细研究巴西、俄罗斯、印度、中国和南非的j曲线效应的可能性。除了实际有效汇率变化和名义有效汇率变化外,还估计了国内外需求压力对贸易平衡可能产生的影响。结合从2000年第一季度到2020第二季度的季度数据集,基于对称和非对称模型的结果没有建立j曲线现象的证据。然而,当考虑不对称可能性时,我们发现升值对贸易平衡的恶化程度相对更大,而货币贬值的影响不显著。此外,没有关于国内外需求影响的不对称证据的报道。然而,前者的增加恶化了贸易平衡,而后者的增加在线性和非线性框架下都改善了贸易平衡。JEL代码:F4, F41, F42
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exchange Rate Changes and the J-curve Effect: Asymmetric Evidence from a Panel of Five Emerging Market Economies
Using the symmetric and asymmetric specifications of the pooled mean group estimator, we attempted to scrutinise the possibility of the J-curve effect in the case of Brazil, Russia, India, China and South Africa. In addition to both real effective exchange rate changes and nominal effective exchange rate changes, the possible impact of domestic and foreign demand pressures on the trade balance is also estimated. Incorporating a quarterly data set spanning from 2000Q1 to 2020Q2, the results based on the symmetric and asymmetric model establish no evidence of the J-curve phenomenon. However, when asymmetric possibilities are considered, appreciation is found to deteriorate the trade balance relatively by a greater magnitude whereas the impact of currency depreciation is insignificant. In addition, no asymmetric evidence has been reported concerning the effect of domestic and foreign demand. However, a hike in the former deteriorated the trade balance whereas an increase in the latter improved it in both linear and non-linear frameworks. JEL Codes: F4, F41, F42
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来源期刊
CiteScore
2.50
自引率
23.10%
发文量
37
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