Review of Professional Management
issue front

Aditya Keshari1 and Amit Gautam1

First Published 7 Jul 2022. https://doi.org/10.1177/09728686221099284
Article Information Volume 20, Issue 1 June 2022
Corresponding Author:

Aditya Keshari, Institute of Management Studies, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India.
Email: adityakeshari@fmsbhu.ac.in

1 Institute of Management Studies, Banaras Hindu University, Varanasi, Uttar Pradesh, India

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-Commercial use, reproduction and distribution of the work without further permission provided the original work is attributed.

Abstract

The outbreak of COVID-19 was an extreme event that created panic among the people, disrupted normal functioning and adversely affected the economy. The stock market fell due to the uncertainty that ensued, and it continues to do so as new variants are being discovered. The study explores the impact of the outbreak of a new variant of COVID-19 on the stock market and analyses investor sentiment towards investing and global investing through sentiment analysis using QSR NVivo software. The results contribute to the extant literature that the investors’ sentiment is positive towards global investing despite the adverse conditions. Investors need to choose those stocks that are internationally diversified with sound fundamentals. The study reveals that markets bounce after a significant cooling period, and investment managers should encourage the investors to hold their portfolios. The study also identifies the important themes and social networking of investors from India with the world through the NodeXL. The study identified major themes such as alerts, timing, investors and investing, which shows that the people mainly focus on stocks, its alert and timing for making investment decisions.

Keywords

Stock market crash, COVID-19 pandemic, sentiment analysis, social network analysis, thematic analysis

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