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dc.contributor.advisorGupta, Samrat
dc.contributor.authorPrasad, Bijay
dc.contributor.authorChhapia, Divyanshu
dc.contributor.authorThakur, Gaurav
dc.date.accessioned2021-10-22T03:44:50Z
dc.date.available2021-10-22T03:44:50Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/11718/24425
dc.description.abstractThe research paper develops an understanding of how Pandemic (COVID-19) affects the Indian Stock Markets and economy. We analyzed the most impacted industry due to COVID Crises using scenario-planning Methodology. We use data modeling to understand the relation of COVID numbers with indices across the globe, Indian exchange rates, foreign and domestic investment in India, and the crisis period. The literature review covers the impact of other confounding variables on the stock market, such as investor sentiments and twitter data. Besides, we also incorporate the political and global factors in our study through shock or a one-time change. We find that the effect of COVID sentiments played an early role in the Indian economy through global correction. Indian stock market hit low before the first Lockdown. It effectively gained in the lockdown period for multiple factors as an increase in retail, FII, and DII investment and an increase in market cap with global correction. We also find that markets do not only govern by Indian sentiments but also global factors dictate the trend. The direct relation of the pandemic with the stock market is negatively correlated initially due to the realization of its impact, however, later with sentiments settling the market regains and inches closer to its all-time high.en_US
dc.language.isoenen_US
dc.publisherIndian Institute of Management Ahmedabaden_US
dc.subjectCOVID sentimenten_US
dc.subjectIndian market during COVIDen_US
dc.subjectMarket sentimentsen_US
dc.subjectCOVID affect the economyen_US
dc.subjectCOVID effect on the industryen_US
dc.titleInvestigating the temporal relationship between the outbreak of COVID-19 pandemic and fluctuations in market indicesen_US
dc.typeStudent Projecten_US


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