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A non-linear analysis of the sovereign bank nexus in the EU

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  • Cifarelli, Giulio
  • Paladino, Giovanna

Abstract

We investigate the time varying dynamics of the linkages between sovereign and bank default risks over the period 2006–2015, using the credit default swap (CDS) spreads of the bonds of major banks and sovereign issuers in the EMU. The nexus between bank risk in core countries and sovereign risk of peripheral countries is also analyzed and found to be relevant. The use of a time-varying regime switching analysis, the STCC-GARCH, identifies the asymmetric impact of the economic variables behind the state shifts, the so-called “transition variables”. This approach also dates both the positive shifts in the size of the nexus that are due to financial shocks (viz. the Lehman crisis, the evolution of the Greek crisis) and the negative shifts that follow the implementation of unconventional monetary policy measures.

Suggested Citation

  • Cifarelli, Giulio & Paladino, Giovanna, 2020. "A non-linear analysis of the sovereign bank nexus in the EU," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
  • Handle: RePEc:eee:joecas:v:21:y:2020:i:c:s170349491930074x
    DOI: 10.1016/j.jeca.2019.e00135
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    References listed on IDEAS

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    More about this item

    Keywords

    CDS spreads; Sovereign bank risk interaction; STCC-GARCH correlation analysis;
    All these keywords.

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • 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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