Research on Dynamic Topological of Network of Exchange Rates of Major Global Currencies under the Background of the COVID-19 Epidemic
DOI: 10.23977/ferm.2023.060601 | Downloads: 4 | Views: 327
Author(s)
Dongyang Li 1
Affiliation(s)
1 Hunan University of Technology and Business, Changsha, Hunan, China
Corresponding Author
Dongyang LiABSTRACT
The COVID-19 has had a huge impact on the global economy, by constructing the global major currency correlation network, analyzing the network topology changes of the global foreign exchange market during the epidemic, the risk transmission channels between different currencies are discussed. It is found that during the epidemic, the average distance of the international currency market network first increased and then decreased, and remained at a high level in the middle of the epidemic. The global currency market has different systemically important nodes at different times, and the US Dollar is the largest network association node; Before and after the pandemic, the Chinese Yuan was always at the edge of the network.
KEYWORDS
COVID-19, complex network, exchange rateCITE THIS PAPER
Dongyang Li, Research on Dynamic Topological of Network of Exchange Rates of Major Global Currencies under the Background of the COVID-19 Epidemic. Financial Engineering and Risk Management (2023) Vol. 6: 1-9. DOI: http://dx.doi.org/10.23977/ferm.2023.060601.
REFERENCES
[1] Chi K. T., Liu J., & Lau F. C. (2010). A network perspective of the stock market. Journal of Empirical Finance, 17(4), 659-667.
[2] Qiao H., Li Y., & Xia Y. (2015). Analysis of linkage effects among currency networks using REER data. Discrete Dynamics in Nature and Society, 2015.
[3] Mandigma M. (2014). Stock market linkages among the ASEAN 5+3 countries and US: further evidence. Management and Administrative Sciences Review, 3(1), 53-68.
[4] Nobi A., Lee S., Kim D. H., & Lee J. W. (2014). Correlation and network topologies in global and local stock indices. Physics Letters A, 378(34), 2482-2489.
[5] Worthington A. C. (2008). The impact of natural events and disasters on the Australian stock market: A GARCH-M analysis of storms, floods, cyclones, earthquakes and bushfires. Global Business and Economics Review, 10(1), 1-10.
[6] Samitas A., Kampouris E., & Polyzos S. (2022). Covid-19 pandemic and spillover effects in stock markets: A financial network approach. International Review of Financial Analysis, 80, 102005.
[7] Demirer M., Diebold F. X., Liu L., & Yilmaz K. (2018). Estimating global bank network connectedness. Journal of Applied Econometrics, 33(1), 1-15.
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