美、中、印贸易冲突中的汇率与股市

Q2 Economics, Econometrics and Finance
Deepika Krishnan, Vishal Dagar
{"title":"美、中、印贸易冲突中的汇率与股市","authors":"Deepika Krishnan, Vishal Dagar","doi":"10.1177/09749101221082724","DOIUrl":null,"url":null,"abstract":"During trade tussles, most of the stock exchanges are impacted, both directly and indirectly, thereby influencing the exchange rates of the countries. This article gives a comprehensive insight into the effects of exchange rate on the USA, China, and Indian stock market, that is, the Dow Jones industrial average index (DJI), Shanghai Stock Exchange (SSE) composite index, and Nifty50 index during trade conflicts. Trade conflicts here talk about the recent trade war between the USA and China, which was invariably fallen in line with the outbreak of COVID-19. Sample of this study comprises the daily closing price from different indices and exchange rate values US dollar, yuan, and rupee. This article uses ordinary least square (OLS) model and generalized autoregressive conditional heteroskedasticity (GARCH) model to analyze the volatility and influence of exchange rate over the stock market. Results from OLS model indicated that the fluctuations in exchange rate have minimum impact on the daily closing price of stock indices, that is, DJI, SSE, and Nifty50 in the USA, China, and India, respectively, however, exchange rate impacts volume of shares traded in all three stock exchanges. The GARCH model implies that the conditional variance is less volatile for Nifty volume, but highly volatile for SSE and DJI stock volumes traded. The findings of the study provide insights to the domestic and foreign investors regarding their investment in the stock market during trade conflicts and mostly during COVID-19 situation.","PeriodicalId":37512,"journal":{"name":"Global Journal of Emerging Market Economies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Exchange Rate and Stock Markets During Trade Conflicts in the USA, China, and India\",\"authors\":\"Deepika Krishnan, Vishal Dagar\",\"doi\":\"10.1177/09749101221082724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"During trade tussles, most of the stock exchanges are impacted, both directly and indirectly, thereby influencing the exchange rates of the countries. This article gives a comprehensive insight into the effects of exchange rate on the USA, China, and Indian stock market, that is, the Dow Jones industrial average index (DJI), Shanghai Stock Exchange (SSE) composite index, and Nifty50 index during trade conflicts. Trade conflicts here talk about the recent trade war between the USA and China, which was invariably fallen in line with the outbreak of COVID-19. Sample of this study comprises the daily closing price from different indices and exchange rate values US dollar, yuan, and rupee. This article uses ordinary least square (OLS) model and generalized autoregressive conditional heteroskedasticity (GARCH) model to analyze the volatility and influence of exchange rate over the stock market. Results from OLS model indicated that the fluctuations in exchange rate have minimum impact on the daily closing price of stock indices, that is, DJI, SSE, and Nifty50 in the USA, China, and India, respectively, however, exchange rate impacts volume of shares traded in all three stock exchanges. The GARCH model implies that the conditional variance is less volatile for Nifty volume, but highly volatile for SSE and DJI stock volumes traded. The findings of the study provide insights to the domestic and foreign investors regarding their investment in the stock market during trade conflicts and mostly during COVID-19 situation.\",\"PeriodicalId\":37512,\"journal\":{\"name\":\"Global Journal of Emerging Market Economies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Journal of Emerging Market Economies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/09749101221082724\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Journal of Emerging Market Economies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/09749101221082724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 2

摘要

在贸易斗争中,大多数证券交易所都会受到直接或间接的影响,从而影响各国的汇率。本文全面分析了贸易冲突期间汇率对美国、中国和印度股市的影响,即道琼斯工业平均指数(DJI)、上海证券交易所(SSE)综合指数和Nifty50指数。这里的贸易冲突指的是最近中美之间的贸易战,这场贸易战总是与新冠肺炎疫情的爆发相一致。本研究的样本包括不同指数的每日收盘价以及美元、人民币和卢比的汇率值。本文采用普通最小二乘(OLS)模型和广义自回归条件异方差(GARCH)模型来分析汇率波动及其对股票市场的影响。OLS模型结果表明,汇率波动对美国、中国和印度的股指(DJI、SSE和Nifty50)的日收盘价影响最小,但汇率对三家交易所的股票交易量均有影响。GARCH模型表明,条件方差对Nifty交易量的波动性较小,但对SSE和DJI交易量的波动性很大。该研究结果为国内外投资者在贸易冲突和新冠疫情期间的股市投资提供了见解。
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 and Stock Markets During Trade Conflicts in the USA, China, and India
During trade tussles, most of the stock exchanges are impacted, both directly and indirectly, thereby influencing the exchange rates of the countries. This article gives a comprehensive insight into the effects of exchange rate on the USA, China, and Indian stock market, that is, the Dow Jones industrial average index (DJI), Shanghai Stock Exchange (SSE) composite index, and Nifty50 index during trade conflicts. Trade conflicts here talk about the recent trade war between the USA and China, which was invariably fallen in line with the outbreak of COVID-19. Sample of this study comprises the daily closing price from different indices and exchange rate values US dollar, yuan, and rupee. This article uses ordinary least square (OLS) model and generalized autoregressive conditional heteroskedasticity (GARCH) model to analyze the volatility and influence of exchange rate over the stock market. Results from OLS model indicated that the fluctuations in exchange rate have minimum impact on the daily closing price of stock indices, that is, DJI, SSE, and Nifty50 in the USA, China, and India, respectively, however, exchange rate impacts volume of shares traded in all three stock exchanges. The GARCH model implies that the conditional variance is less volatile for Nifty volume, but highly volatile for SSE and DJI stock volumes traded. The findings of the study provide insights to the domestic and foreign investors regarding their investment in the stock market during trade conflicts and mostly during COVID-19 situation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Global Journal of Emerging Market Economies
Global Journal of Emerging Market Economies Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
2.70
自引率
0.00%
发文量
27
期刊介绍: Global Journal of Emerging Market Economies is a peer-reviewed journal. The aim of the journal is to provide an international platform for knowledge sharing, discussion and networking on the various aspects related to emerging market economies through publications of original research. It aims to make available basic reference material for policy-makers, business executives and researchers interested in issues of fundamental importance to the economic prospects and performance of emerging market economies. The topics for discussion are related to the following general categories: D. Microeconomics E. Macroeconomics and Monetary Economics F. International Economics G. Financial Economics H. Public Economics I. Health, Education, and Welfare J. Labor and Demographic Economics L. Industrial Organization O. Economic Development, Innovation, Technological Change, and Growth Q. Agricultural and Natural Resource Economics • Environmental and Ecological Economics R. Urban, Rural, Regional, Real Estate, and Transportation Economics Additionally, the journal would be most interested to publish topics related to Global Financial Crisis and the Impact on Emerging Market Economies Economic Development and Inclusive Growth Climate Change and Energy Infrastructure Development and Public Private Partnerships Capital Flows to and from Emerging Market Economies Regional Cooperation Trade and Investment and Development of National and Regional Financial Markets The Belt and Road Initiative.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信