汇率
经济
利率
格兰杰因果关系
Nexus(标准)
大流行
2019年冠状病毒病(COVID-19)
可预测性
稳健性(进化)
货币经济学
价值(数学)
金融经济学
计量经济学
宏观经济学
医学
统计
数学
化学
生物化学
传染病(医学专业)
嵌入式系统
病理
计算机科学
疾病
基因
作者
Bhavesh Garg,K.P. Prabheesh
出处
期刊:Studies in Economics and Finance
[Emerald (MCB UP)]
日期:2021-02-15
卷期号:38 (2): 469-486
被引量:31
标识
DOI:10.1108/sef-09-2020-0387
摘要
Purpose This paper aims to investigate whether the interest rate differentials Granger cause expected change in the exchange rate during the COVID-19 period. The study examines if the investors in the international assets and exchange rate markets take advantages of the relevant information obtained during the COVID-19 pandemic. Design/methodology/approach This paper used daily data ranging from January 31, 2020 to June 30, 2020 and considered BRIICS economies. The study implemented the Toda–Yamamoto’s Granger causality approach to identify the causality between interest rate differentials and exchange rates. For robustness checks, the study used ARLD short-run dynamics to infer causal relations. Findings Overall, the results indicate that the interest rate differentials improve the predictability of subsequent exchange rate changes in all six BRIICS economies during the COVID-19 period wherein investors are forward-looking. The empirical results pass the robustness checks. Originality/value There is a lack of studies exploring the relationship between interest rate differentials and exchange rates in the presence of an unanticipated event such as the current pandemic. To the best of the authors’ knowledge, this is the first study to explore the causal linkages between interest rate differentials and expected change in exchange rates, focusing on the COVID-19 outbreak period.
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