{"title":"印度股市对冠状病毒大流行和封锁的反应","authors":"Dhananjay Ashri, B. P. Sahoo","doi":"10.5958/0973-9343.2020.00028.9","DOIUrl":null,"url":null,"abstract":"Purpose: The present paper tries to probe the COVID-19 breakout effect on the stock markets by drawing shreds of evidence from India Design/methodology/approach: Secondary data has been used and retrieved from the BSE and NSE portal in this study The study covered the period July 1, 2019, to March 11, 2020, as \"pre-COVID period\" and March 12, 2020, to July 9, 2020, as \"post-COVID period\" Welch's t-test, popularly known as unequal variance t-test, and non parametric Mann-Whitney U test are used to compare the opening, highest, lowest, and closing prices across the two periods of the major stock indices;Nifty 50, Nifty 500, Nifty 100, Nifty Midcap 150, S&P BSE Sensex, S&P BSE 500, S&P BSE Midcap, and S&P BSE All Cap We further extended our study by employing a multiple regression model for the post-COVID period to identify the repercussions of the spread of the virus and lockdown on the stock indices' prices Findings: Both Welch's t-test and Mann-Whitney U-test indicated a significant (I% significance level) negative impact of the Covid-19 pandemic on the Indian stock market Multiple regression model confirmed a significant (significant at I%) positive effect of a rise in the COVID-19 cases on the stock market, and COVID-19 related deaths do not significantly impact even at 10% level Furthermore, the results revealed a significant (at I% level of significance) fall in the prices due to an increase in the lockdown days Originality/value: These outcomes contribute to the literature by looking at Coronavirus's economic consequences by drawing evidence from the Indian stock market This study provides insights into the policymakers and corporates into the economic repercussions of COVID-19","PeriodicalId":153840,"journal":{"name":"Emerging Markets: Finance eJournal","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Reaction of The Indian Stock Market to Corona Pandemic and Lockdown\",\"authors\":\"Dhananjay Ashri, B. 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引用次数: 3
摘要
目的:本文试图通过收集来自印度的证据碎片来探讨COVID-19爆发对股票市场的影响。辅助数据从疯牛病已经使用和检索,分析了无门户在这项研究中研究了7月1日,2019年3月11日,2020年,随着“pre-COVID期”和3月12日,2020年7月9日,2020年,作为“post-COVID期”韦尔奇t,俗称不平等的t检验、方差和非参数Mann-Whitney U测试是用来比较开放,最高,最低,和收盘价的两个时期主要股票指数;漂亮的50,500年漂亮的,漂亮的100年,俏皮中市值150,标准普尔BSE Sensex指数、标准普尔BSE 500指数、标准普尔BSE中型股指数和标准普尔BSE All Cap指数。我们进一步扩展了我们的研究,采用了后covid时期的多元回归模型,以确定病毒传播和封锁对股指价格的影响。Welch’st检验和Mann-Whitney u检验均表明,Covid-19大流行对印度股市的负面影响显著(显著性水平为I%)。多元回归模型证实,Covid-19病例的增加对股市的正面影响显著(显著性水平为I%),而Covid-19相关死亡即使在10%的水平上也不显著。结果显示,由于封锁天数的增加,价格显著(在1%的显著性水平上)下跌。原创性/价值:通过从印度股市获取证据,研究冠状病毒的经济后果,这些结果为文献做出了贡献。这项研究为政策制定者和企业提供了对COVID-19经济影响的见解
Reaction of The Indian Stock Market to Corona Pandemic and Lockdown
Purpose: The present paper tries to probe the COVID-19 breakout effect on the stock markets by drawing shreds of evidence from India Design/methodology/approach: Secondary data has been used and retrieved from the BSE and NSE portal in this study The study covered the period July 1, 2019, to March 11, 2020, as "pre-COVID period" and March 12, 2020, to July 9, 2020, as "post-COVID period" Welch's t-test, popularly known as unequal variance t-test, and non parametric Mann-Whitney U test are used to compare the opening, highest, lowest, and closing prices across the two periods of the major stock indices;Nifty 50, Nifty 500, Nifty 100, Nifty Midcap 150, S&P BSE Sensex, S&P BSE 500, S&P BSE Midcap, and S&P BSE All Cap We further extended our study by employing a multiple regression model for the post-COVID period to identify the repercussions of the spread of the virus and lockdown on the stock indices' prices Findings: Both Welch's t-test and Mann-Whitney U-test indicated a significant (I% significance level) negative impact of the Covid-19 pandemic on the Indian stock market Multiple regression model confirmed a significant (significant at I%) positive effect of a rise in the COVID-19 cases on the stock market, and COVID-19 related deaths do not significantly impact even at 10% level Furthermore, the results revealed a significant (at I% level of significance) fall in the prices due to an increase in the lockdown days Originality/value: These outcomes contribute to the literature by looking at Coronavirus's economic consequences by drawing evidence from the Indian stock market This study provides insights into the policymakers and corporates into the economic repercussions of COVID-19