Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24651
Title: Corporate credit risk counter-cyclical interdependence: A systematic analysis of cross-border and cross-sector correlation dynamics
Authors: Yfanti, S
Karanasos, M
Zopounidis, C
Christopoulos, A
Keywords: finance;credit risk co-movement;economic policy uncertainty;financial/health crisis;sectoral CDS;correlations
Issue Date: 21-Apr-2022
Publisher: Elsevier
Citation: Yfanti, S. et al. (2022) 'Corporate credit risk counter-cyclical interdependence: A systematic analysis of cross-border and cross-sector correlation dynamics', European Journal of Operational Research, 304 (2), pp. 813 - 831. doi: 10.1016/j.ejor.2022.04.017.
Abstract: Sectoral corporate credit risk interlinkages constitute a highly topical issue for the systemic risk considerations of policymakers and market practitioners. We reveal the macroeconomic drivers of dynamic correlations between European and US sectoral Credit Default Swaps (CDS) markets. The CDS conditional equicorrelations are explained by common macro-financial and news proxies. Our results demonstrate the counter-cyclical behaviour of the time-varying sectoral CDS interdependence, that is elevated sectoral correlations are associated with higher economic policy and financial uncertainty, stronger infectious disease news impact on equity markets, tighter credit conditions, economic activity slowdown, and negative sentiment. We further focus on economic policy uncertainty (EPU) as a potent catalyst of the CDS markets integration process and conclude that EPU magnifies the macro effects across credit risk correlations. Moreover, crisis events play a crucial role in the time-varying impact of the correlation macro drivers. Both financial and health crises amplify the influence that the macro factors exert on the evolution of credit risk correlations, leading to credit risk contagion and threatening financial stability. Lastly, we show that understanding the credit contagion mechanisms has clear implications for operational research applications on risk and portfolio management.
Description: Research data for this article are available for download under the CC BY licence at: https://www.sciencedirect.com/science/article/pii/S0377221722003150?via%3Dihub#ec-research-data .
Supplementary material is available online at: https://www.sciencedirect.com/science/article/pii/S0377221722003150?via%3Dihub#sec0020 .
URI: https://bura.brunel.ac.uk/handle/2438/24651
DOI: https://doi.org/10.1016/j.ejor.2022.04.017
ISSN: 0377-2217
Other Identifiers: ORCiD: Stavroula Yfanti https://orcid.org/0000-0001-8071-916X
ORCiD: Menelaos Karanasos https://orcid.org/0000-0001-5442-3509
ORCiD: Constantin Zopounidis https://orcid.org/0000-0003-1881-8786
ORCiD: Apostolos Christopoulos https://orcid.org/0000-0003-2617-970X
Appears in Collections:Dept of Economics and Finance Research Papers

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