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The interactions and trade-offs of sovereign Credit Default SWAP (CDS) and bond spreads in a dynamic context

Abstract

This study provides a dynamic analysis of the lead-lag relationship between sovereign Credit Default Swap (CDS) and bond spreads of the highly indebted southern European countries, considering an extensive time sample from the period before the global financial crisis to the latest developments of the sovereign indebtedness in the euro area. We employ an integrated price discovery methodology on a rolling sample, with the intention to shed light on whether the CDS spreads can trigger rises in bond spreads, and the relative efficiency of credit risk pricing in the CDS and bond markets. In addition, we attempt to depict the evolution of the price discovery process regarding the direction of influence from one market to the other. The rolling window analysis verifies that the price discovery process evolves over time, presenting frequent alternations concerning the leading market. We find that during periods of economic turbulence the CDS market leads the bond market in price discovery, incorporating the new information about sovereign credit risk faster and more efficiently than the bond market does. This regularity should be seriously considered by private and public participants as they make investment and funding decisions. Therefore, the motivation of our paper is to identify the dominant market in terms of price discovery during a period of economic turmoil and, thus, to provide insights for decision making to investment bodies and central governments.

Keyword : credit risk, CDS, sovereign bonds, debt crisis, cointegration, Granger causality, price discovery, rolling window analysis

How to Cite
Tampakoudis, I. A., Tamošiūnas, A., Subeniotis, D. N., & Kroustalis, I. G. (2019). The interactions and trade-offs of sovereign Credit Default SWAP (CDS) and bond spreads in a dynamic context. Journal of Business Economics and Management, 20(3), 466-488. https://doi.org/10.3846/jbem.2019.9759
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Apr 16, 2019
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This work is licensed under a Creative Commons Attribution 4.0 International License.

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