Temporal changes in global stock markets during COVID-19: an analysis of dynamic networks

Kashif Zaheer, Faheem Aslam, Yasir Tariq Mohmand and Paulo Ferreira

China Finance Review International, 2022, vol. 13, issue 1, 23-45

Abstract: Purpose - COVID-19 evolved from a local health crisis to a pandemic and affected countries worldwide accordingly. Similarly, the impacts of the pandemic on the performance of global stock markets could be time-varying. This study applies a dynamic network analysis approaches to evaluate the evolution over time of the impact of COVID-19 on the stock markets' network. Design/methodology/approach - Daily closing prices of 55 global stock markets from August 1, 2019 to September 10, 2020 were retrieved. This sample period was further divided into nine subsample periods for dynamic analysis purpose. Distance matrix based on long-range correlations was calculated, using rolling window's length of 100 trading days, rolled forward at an interval of one month's working days. These distance matrices than used to construct nine minimum spanning trees (MSTs). Network characteristics were figured out, community detection and network rewiring techniques were also used for extracting meaningful from these MSTs. Findings - The findings are, with the evolution of COVID-19, a change in co-movements amongst stock markets' indices occurred. On the 100th day from the date of reporting of the first cluster of cases, the co-movement amongst the stock markets become 100% positively correlated. However, the international investor can still get better portfolio performance with such temporal correlation structure either avoiding risk or pursuing profits. A little change is observed in the importance of authoritative node; however, this central node changed multiple times with change of epicenters. During COVID-19 substantial clustering and less stable network structure is observed. Originality/value - It is confirmed that this work is original and has been neither published elsewhere, nor it is currently under consideration for publication elsewhere.

Keywords: COVID-19; Minimum spanning tree; Complex network; Time-varying network; Stock markets; Topological structure (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eme:cfripp:cfri-07-2021-0137

DOI: 10.1108/CFRI-07-2021-0137

Access Statistics for this article

China Finance Review International is currently edited by Professor Chongfeng Wu and Professor Haitao Li

More articles in China Finance Review International from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().