汇率波动与油价波动之间的关系:来自印度的证据

Nazar Ali, Ashok Mittal
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引用次数: 0

摘要

在过去的几十年里,印度的原油价格一直在波动,这引起了人们的极大关注,因为它对所有经济部门都有影响。本研究旨在确定油价波动如何影响2009年7月1日至2020年1月2日印度的实际汇率。对于短期和长期分析,采用了各种计量经济学方法,包括格兰杰因果关系,ARDL绑定检验,FEVD和IRF。本研究基于断点分析将整个样本划分为子样本,然后对每个子样本进行ARDL Bound检验程序。因果关系结果显示,大多数样本在油价与汇率之间表现出较强的单向因果关系。然而,ARDL模型的长期和短期结果未能检测到整个样本中潜在变量之间的任何协整。计算出的f统计量为4.35,小于Pesaran, Shin, and Smith(2001)提供的下限和上限临界值。全球环境基金已被用于计算油价一个标准差冲击对卢比兑美元汇率当前和未来价值的动态边际效应。前三个样本的汇率下跌是由于油价的一次标准差冲击。然而,在第四个样本期间,油价对汇率的贡献是正的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nexus between Exchange Rate Volatility and Oil Price Fluctuations: Evidence from India
The price of crude oil has fluctuated in India over the past few decades which has drawn significant attention because of it impact on all economic sectors. The present study aims to identify how oil price volatility affects the real exchange rate in India from 1st July 2009 to 2nd January 2020. For short-run and long-run analysis, various econometric methods have been applied, including Granger Causality, ARDL Bound test, FEVD, and IRF. The study divided the entire sample into sub-samples based on Breakpoint analysis and then performed the ARDL Bound testing procedure in each sub-sample. Causality results revealed that most samples exhibited strong unidirectional causality from oil prices to exchange rates. However, the long-run and short-run results from the ARDL model failed to detect any cointegration among the underlying variables for the entire sample. The calculated F-statistics is 4.35, which is less than the lower and upper critical bound values provided by Pesaran, Shin, and Smith (2001). The GIRF has been used to calculate the dynamic marginal effect of a one-standard-deviation shock in oil prices on the current and future values of the Rupee-Dollar exchange rate. The exchange rate fell in the first three samples due to one standard deviation shock in oil prices. However, the contribution of oil prices to the exchange rate is positive in the fourth sample period.
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