{"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}
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.
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.