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Volatility spillovers in the European bank CDS market

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  • Alemany, Aida
  • Ballester, Laura
  • González-Urteaga, Ana

Abstract

From the 2007 subprime crisis to the recent Eurozone debt crisis, the banking industry has experienced terrible financial instability with increasing volatility levels of bank default probability. Using European CDS spreads data from January 2006 to March 2013, this paper sheds light on the impact of three recent significant events of credit risk volatility transmission between, firstly, Eurozone and non-Eurozone banks, and then between distressed peripheral and core countries inside the Eurozone. We employ an asymmetric multivariate BEKK model to measure cross-market volatility spillovers. We find that both recent crises are distinct episodes. The global financial crisis that originated outside Europe is characterized by unidirectional volatility spillovers in credit risk from inside to outside the Eurozone. By contrast, the Eurozone debt crisis is revealed to be local in nature with the euro as the key element, suggesting a financial market fragmentation within the Eurozone between distressed peripheral and non-distressed core Eurozone countries, whereas retaining the local currency has acted as a firewall.

Suggested Citation

  • Alemany, Aida & Ballester, Laura & González-Urteaga, Ana, 2015. "Volatility spillovers in the European bank CDS market," Finance Research Letters, Elsevier, vol. 13(C), pages 137-147.
  • Handle: RePEc:eee:finlet:v:13:y:2015:i:c:p:137-147
    DOI: 10.1016/j.frl.2015.02.003
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    Cited by:

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    6. Tsuji, Chikashi, 2018. "Return transmission and asymmetric volatility spillovers between oil futures and oil equities: New DCC-MEGARCH analyses," Economic Modelling, Elsevier, vol. 74(C), pages 167-185.
    7. Vladimir Balash & Alexey Faizliev & Sergei Sidorov & Elena Chistopolskaya, 2021. "Conditional Time-Varying General Dynamic Factor Models and Its Application to the Measurement of Volatility Spillovers across Russian Assets," Mathematics, MDPI, vol. 9(19), pages 1-31, October.
    8. Syed Jawad Hussain Shahzad & Elie Bouri & Jose Arreola-Hernandez & David Roubaud & Stelios Bekiros, 2019. "Spillover across Eurozone credit market sectors and determinants," Applied Economics, Taylor & Francis Journals, vol. 51(59), pages 6333-6349, December.
    9. Thomas Conlon & John Cotter, 2019. "Subordinate Resolution ‐‐ An Empirical Analysis of European Union Subsidiary Banks," Journal of Common Market Studies, Wiley Blackwell, vol. 57(4), pages 857-876, July.
    10. Billio, Monica & Caporin, Massimiliano & Frattarolo, Lorenzo & Pelizzon, Loriana, 2023. "Networks in risk spillovers: A multivariate GARCH perspective," Econometrics and Statistics, Elsevier, vol. 28(C), pages 1-29.
    11. Chabot, Miia & Bertrand, Jean-Louis, 2021. "Complexity, interconnectedness and stability: New perspectives applied to the European banking system," Journal of Business Research, Elsevier, vol. 129(C), pages 784-800.
    12. Balboa, Marina & López-Espinosa, Germán & Rubia, Antonio, 2015. "Granger causality and systemic risk," Finance Research Letters, Elsevier, vol. 15(C), pages 49-58.
    13. Christian Manicaro, 2022. "The link between regional CDS spreads and equity returns: a multivariate GARCH approach," SN Business & Economics, Springer, vol. 2(2), pages 1-15, February.
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    17. González-Fernández, Marcos & González-Velasco, Carmen, 2020. "An alternative approach to predicting bank credit risk in Europe with Google data," Finance Research Letters, Elsevier, vol. 35(C).

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    More about this item

    Keywords

    CDS spreads; Credit risk; Volatility spillovers; Financial crisis;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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