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1.
Journal of Facilities Management ; : 18, 2022.
Article in English | Web of Science | ID: covidwho-1799388

ABSTRACT

Purpose The stock market has shown fluctuating degrees of volatility because of the recent COVID-19 pandemic in India. The present research aims to investigate the effect of the COVID-19 on the stock market volatility, and whether the economic package can control the market volatility or not, measured by a set of certain sector-level economic features and factors such as resilience variables. Design/methodology/approach We examine the correlation matrix, basic volatility model and robustness tests to determine the sector-level economic features and macroeconomic factors helpful in diminishing the volatility rising because of the COVID-19. Findings The outcomes of this study are significant as policymakers and financial analysts can apply these economic factors to set policy replies to handle the unexpected fluctuation in the stock market in sequence to circumvent any thinkable future financial crisis. Originality/value The originality of the paper is to measure the variables affecting the stock market volatility due to COVID-19, and understand the impact of capital market macroeconomic variables and dummy variables to theoretically explain the COVID-19 impact on stock market volatility.

2.
Review of Behavioral Finance ; : 20, 2022.
Article in English | Web of Science | ID: covidwho-1799380

ABSTRACT

Purpose This study aims to investigate herding spillover in BRIC (Brazil, Russia, India and China) countries and Turkey under different regimes by using a time-varying approach. Design/methodology/approach The authors used the structural change model of Bai and Perron (1998). Findings The results indicate that there is an evidence of herding behaviour in the Chinese stock market in two different regimes. These regimes cover the recent global financial crisis and the period of Hong Kong protests. We also report the evidence of herding behaviour in the Turkish stock market in the regime covering the COVID-19 period. Findings of herding spillover show that there is a two-way herding among Russia and China during crises and high volatile regimes. Similarly, there exists a cross-country herding among Brazil and India during crisis regimes. Also, there is herding spillover from Turkey to Russia, China and Brazil during the global financial crisis, post-European debt crisis and COVID-19 periods respectively. Furthermore, it is also evident that there is a herding spillover from Russia and China to India during the period covering COVID-19. Originality/value To the best of the authors' knowledge, this is the first study that uses structural change approach to identify herding behaviour spillovers from the US stock market to BRIC countries and Turkey and to investigate the cross-country herding behaviour among BRIC countries and Turkey.

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