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Dynamic connectedness among market volatilities: a perspective of COVID-19 and Russia-Ukraine conflict

Prince Kumar Maurya (Department of Management Studies, Rajiv Gandhi Institute of Petroleum Technology, Amethi, India)
Rohit Bansal (Department of Management Studies, Rajiv Gandhi Institute of Petroleum Technology, Amethi, India)
Anand Kumar Mishra (Department of Management Studies, Rajiv Gandhi Institute of Petroleum Technology, Amethi, India)

Studies in Economics and Finance

ISSN: 1086-7376

Article publication date: 17 April 2024

Issue publication date: 14 November 2024

151

Abstract

Purpose

This paper aims to investigate the dynamic volatility connectedness among 13 G20 countries by using the volatility indices.

Design/methodology/approach

The connectedness approach based on the time-varying parameter vector autoregression model has been used to investigate the linkage. The period of study is from 1 January 2014 to 20 April 2023.

Findings

This analysis revealed that volatility connectedness among the countries during COVID-19 and Russia–Ukraine conflict had increased significantly. Furthermore, analysis has indicated that investors had not anticipated the World Health Organization announcement of COVID-19 as a global pandemic. Contrarily, investors had anticipated the Russian invasion of Ukraine, evident in a significant rise in volatility before and after the invasion. In addition, the transmission of volatility is from developed to developing countries. Developed countries are NET volatility transmitters, whereas developing countries are NET volatility receivers. Finally, the ordinary least square regression result suggests that the volatility connectedness index is informative of stock market dynamics.

Originality/value

The connectedness approach has been widely used to estimate the dynamic connectedness among market indices, cryptocurrencies, sectoral indices, enegy commodities and metals. To the best of the authors’ knowledge, none of the previous studies have directly used the volatility indices to measure the volatility connectedness. Hence, this study is the first of its kind that has used volatility indices to measure the volatility connectedness among the countries.

Keywords

Acknowledgements

Data availability statement: Data supporting this study’s findings will be available upon request.

Conflict of interest: The authors have no known conflict of interest to disclose.

Citation

Maurya, P.K., Bansal, R. and Mishra, A.K. (2024), "Dynamic connectedness among market volatilities: a perspective of COVID-19 and Russia-Ukraine conflict", Studies in Economics and Finance, Vol. 41 No. 5, pp. 1119-1140. https://doi.org/10.1108/SEF-01-2024-0029

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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