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An analysis of network filtering methods to sovereign bond yields during COVID-19

Pang, RK-K and Granados, OM and Chhajer, H and Legara, EFT (2021) An analysis of network filtering methods to sovereign bond yields during COVID-19. In: Physica A: Statistical Mechanics and its Applications, 574 .

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Official URL: https://doi.org/10.1016/j.physa.2021.125995


In this work, we investigate the impact of the COVID-19 pandemic on sovereign bond yields. We consider the temporal changes from financial correlations using network filtering methods. These methods consider a subset of links within the correlation matrix, which gives rise to a network structure. We use sovereign bond yield data from 17 European countries between the 2010 and 2020 period. We find the mean correlation to decrease across all filtering methods during the COVID-19 period. We also observe a distinctive trend between filtering methods under multiple network centrality measures. We then relate the significance of economic and health variables towards filtered networks within the COVID-19 period. Under an exponential random graph model, we are able to identify key relations between economic groups across different filtering methods. © 2021 Elsevier B.V.

Item Type: Journal Article
Publication: Physica A: Statistical Mechanics and its Applications
Publisher: Elsevier B.V.
Additional Information: The copyright for this article belongs to Author
Keywords: Correlation matrix; Crisis; Econophysicss; European Countries; Filtering method; Financial correlation; Network filtering; Network structures; Sovereign bond; Temporal change, Graph theory
Department/Centre: Division of Interdisciplinary Sciences > Centre for Biosystems Science and Engineering
Date Deposited: 14 Jul 2021 11:37
Last Modified: 14 Jul 2021 11:37
URI: http://eprints.iisc.ac.in/id/eprint/68775

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