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The Changing Behavior of the European Credit Default Swap Spreads During the Covid-19 Pandemic: A Bayesian Network Analysis

Author

Listed:
  • Esma Nur Cinicioglu

    (Istanbul University)

  • Gül Huyugüzel Kışla

    (Ege University)

  • A. Özlem Önder

    (Ege University)

  • Y. Gülnur Muradoğlu

    (Queen Mary University of London)

Abstract

The level of financial risk spread out to the world during the COVID-19 pandemic has shown that none of the countries are immune to financial uncertainty and the vast changes it brings to economic stability. The contagiousness of sovereign risk is a result of the interdependent structure of countries’ financial networks. Yet the analysis of sovereign CDS risk spread using the network view is both new and limited. With this study, we want to use the network view to prove the interconnectedness of the financial systems in Europe and its effect on the spread of the risk throughout the COVID-19 pandemic. The objective of this study is threefold: First, using the Bayesian networks learned from the daily CDS values of 17 European Union countries, we demonstrate the dependent network structure of countries and the movement of the sovereign risk over this network with a cascading behavior. Second, we explore how the probabilistic dependency structure changes over the different phases of the COVID-19 pandemic, leading to alterations on the behavior of the sovereign risk spread. The previous studies on the sovereign risk spread during the COVID-19 pandemic employs the data over the whole period of the pandemic. However, during the pandemic the behavior of the spread was changing, and to capture that change the consideration of shorter intervals becomes crucial. Therefore, in this study, the COVID-19 crisis period from December 2019 until February 2021 is divided into five phases of 3-month time intervals. As the third and last objective, this study intends to be a roadmap for policy makers as well as for researchers to understand the true nature and connectedness of sovereign risk transmissions. For that purpose, we provide a benchmark procedure for the evaluation of the sovereign risk of countries using Bayesian networks which involves a comprehensive analysis involving several steps conducted on each of the learned Bayesian networks for the different phases of the pandemic. In terms of policy implications, this study aims to be helpful for investors that want to diversify sovereign risk in their bond portfolios and be explanatory for the changing behavior of the risk spread during crisis periods. Moreover, this study exemplifies the use of artificial intelligence methods to understand the working mechanism of economic systems.

Suggested Citation

  • Esma Nur Cinicioglu & Gül Huyugüzel Kışla & A. Özlem Önder & Y. Gülnur Muradoğlu, 2024. "The Changing Behavior of the European Credit Default Swap Spreads During the Covid-19 Pandemic: A Bayesian Network Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 63(3), pages 1213-1254, March.
    • Handle: RePEc:kap:compec:v:63:y:2024:i:3:d:10.1007_s10614-023-10489-x
    DOI: 10.1007/s10614-023-10489-x
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    References listed on IDEAS

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    1. Kalbaska, A. & Gątkowski, M., 2012. "Eurozone sovereign contagion: Evidence from the CDS market (2005–2010)," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 657-673.
    2. Apergis, Nicholas & Danuletiu, Dan & Xu, Bing, 2022. "CDS spreads and COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    3. Caporin, Massimiliano & Pelizzon, Loriana & Ravazzolo, Francesco & Rigobon, Roberto, 2018. "Measuring sovereign contagion in Europe," Journal of Financial Stability, Elsevier, vol. 34(C), pages 150-181.
    4. Lauritzen, Steffen L., 1995. "The EM algorithm for graphical association models with missing data," Computational Statistics & Data Analysis, Elsevier, vol. 19(2), pages 191-201, February.
    5. Garvey, Myles D. & Carnovale, Steven & Yeniyurt, Sengun, 2015. "An analytical framework for supply network risk propagation: A Bayesian network approach," European Journal of Operational Research, Elsevier, vol. 243(2), pages 618-627.
    6. Simsek, Serhat & Dag, Ali & Tiahrt, Thomas & Oztekin, Asil, 2021. "A Bayesian Belief Network-based probabilistic mechanism to determine patient no-show risk categories," Omega, Elsevier, vol. 100(C).
    7. Claeys, Peter & Vašíček, Bořek, 2014. "Measuring bilateral spillover and testing contagion on sovereign bond markets in Europe," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 151-165.
    8. Beirne, John & Fratzscher, Marcel, 2013. "The pricing of sovereign risk and contagion during the European sovereign debt crisis," Journal of International Money and Finance, Elsevier, vol. 34(C), pages 60-82.
    9. Augustin, Patrick & Sokolovski, Valeri & Subrahmanyam, Marti G. & Tomio, Davide, 2022. "In sickness and in debt: The COVID-19 impact on sovereign credit risk," Journal of Financial Economics, Elsevier, vol. 143(3), pages 1251-1274.
    10. De Bruyckere, Valerie & Gerhardt, Maria & Schepens, Glenn & Vander Vennet, Rudi, 2013. "Bank/sovereign risk spillovers in the European debt crisis," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4793-4809.
    11. Aizenman, Joshua & Hutchison, Michael & Jinjarak, Yothin, 2013. "What is the risk of European sovereign debt defaults? Fiscal space, CDS spreads and market pricing of risk," Journal of International Money and Finance, Elsevier, vol. 34(C), pages 37-59.
    12. Brutti, Filippo & Sauré, Philip, 2015. "Transmission of sovereign risk in the Euro crisis," Journal of International Economics, Elsevier, vol. 97(2), pages 231-248.
    13. Kallestrup, René & Lando, David & Murgoci, Agatha, 2016. "Financial sector linkages and the dynamics of bank and sovereign credit spreads," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 374-393.
    14. Kocsis, Zalan & Monostori, Zoltan, 2016. "The role of country-specific fundamentals in sovereign CDS spreads: Eastern European experiences," Emerging Markets Review, Elsevier, vol. 27(C), pages 140-168.
    15. Huseyin Ozturk & Ersin Namli & Halil Ibrahim Erdal, 2016. "Reducing Overreliance on Sovereign Credit Ratings: Which Model Serves Better?," Computational Economics, Springer;Society for Computational Economics, vol. 48(1), pages 59-81, June.
    16. Daehler, Timo B. & Aizenman, Joshua & Jinjarak, Yothin, 2021. "Emerging markets sovereign CDS spreads during COVID-19: Economics versus epidemiology news," Economic Modelling, Elsevier, vol. 100(C).
    17. Huyugüzel Kışla, Gül & Özlem Önder, A., 2018. "Spatial analysis of sovereign risks: The case of emerging markets," Finance Research Letters, Elsevier, vol. 26(C), pages 47-55.
    18. Hao, Xiangchao & Sun, Qinru & Xie, Fang, 2022. "The COVID-19 pandemic, consumption and sovereign credit risk: Cross-country evidence," Economic Modelling, Elsevier, vol. 109(C).
    19. Esma Nur Cinicioglu & Gündüz Ulusoy & Şule Önsel Ekici & Füsun Ülengin & Burç Ülengin, 2017. "Exploring the interaction between competitiveness of a country and innovation using Bayesian networks," Innovation and Development, Taylor & Francis Journals, vol. 7(2), pages 175-209, July.
    20. Cepni, Oguzhan & Kucuksarac, Doruk & Yilmaz, M. Hasan, 2017. "The sensitivity of credit default swap premium to global risk factor: Evidence from emerging markets," Economics Letters, Elsevier, vol. 159(C), pages 74-77.
    21. González-Hermosillo, Brenda & Johnson, Christian, 2017. "Transmission of financial stress in Europe: The pivotal role of Italy and Spain, but not Greece," Journal of Economics and Business, Elsevier, vol. 90(C), pages 49-64.
    22. Andrieș, Alin Marius & Ongena, Steven & Sprincean, Nicu, 2021. "The COVID-19 Pandemic and Sovereign Bond Risk," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    23. Fender, Ingo & Hayo, Bernd & Neuenkirch, Matthias, 2012. "Daily pricing of emerging market sovereign CDS before and during the global financial crisis," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2786-2794.
    24. Gupta, Sumeet & Kim, Hee W., 2008. "Linking structural equation modeling to Bayesian networks: Decision support for customer retention in virtual communities," European Journal of Operational Research, Elsevier, vol. 190(3), pages 818-833, November.
    25. Augustin, Patrick & Subrahmanyam, Marti G. & Tang, Dragon Yongjun & Wang, Sarah Qian, 2014. "Credit Default Swaps: A Survey," Foundations and Trends(R) in Finance, now publishers, vol. 9(1-2), pages 1-196, December.
    26. Faheem Aslam & Paulo Ferreira & Khurrum Shahzad Mughal & Beenish Bashir, 2021. "Intraday Volatility Spillovers among European Financial Markets during COVID-19," IJFS, MDPI, vol. 9(1), pages 1-19, January.
    27. Naifar, Nader & Shahzad, Syed Jawad Hussain, 2022. "Tail event-based sovereign credit risk transmission network during COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 45(C).
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