{"title":"Covid-19 pandemic: Share price volatility behaviour of selected food processing companies in NSE","authors":"Monika N., P. Priya, P. Sundharesalingam, M. Mohanasundari","doi":"10.1063/5.0068593","DOIUrl":null,"url":null,"abstract":"The Indian financial market and global markets experienced volatility due to pandemic. Estimations of volatility helps to measure the performance of the share price of the company. This paper studies about the impact of pandemic on the food processing companies listed in NSE. The objective of the paper is to examine the level of volatility prevailing in the selected food processing companies share returns. The daily returns of the companies are collected from January 1, 2019 to November 27, 2020.the returns of the selected period is considered for this purpose. GARCH model is used to capture the volatility of the returns. Findings reveal that the high volatility is experienced during the Covid period observations. While comparing the returns of the stock, the returns are positive during the Covid period than the Pre-Covid period. Thus reflecting the bounce back from the unprecedented Covid shocks in the market. © 2021 American Institute of Physics Inc.. All rights reserved.","PeriodicalId":184161,"journal":{"name":"PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1063/5.0068593","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Covid-19大流行:NSE选定食品加工公司的股价波动行为
受疫情影响,印度金融市场和全球市场出现波动。对波动率的估计有助于衡量公司股价的表现。本文研究了疫情对在印度证交所上市的食品加工企业的影响。本文的目的是检查在选定的食品加工公司股票回报普遍波动的水平。公司的日报表收集日期为2019年1月1日至2020年11月27日。为此目的考虑所选期间的收益。GARCH模型用于捕捉收益的波动性。研究结果表明,在新冠肺炎期间的观察中,经历了高波动性。在比较股票的回报时,新冠肺炎期间的回报比新冠肺炎前的回报为正。这反映了市场从前所未有的新冠疫情冲击中反弹的趋势。©2021美国物理学会。版权所有。
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