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Time varying contagion in EMU government bond spreads

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  • Leschinski, Christian
  • Bertram, Philip

Abstract

We analyze the time varying behavior of pure contagion effects between Economic and Monetary Union (EMU) government bond spreads before and during the subprime mortgage crisis and the EMU debt crisis. By conducting a rolling window analysis, we are able to monitor the evolution of pure contagion effects and the changing influence of exogenous factors over time. Importantly, this is done without an ex-ante specification of the contagion window. Hence, we are able to determine the exact timing of the start and end for the different contagion periods. In contrast to related studies, we use a slightly different definition of contagious events and show that this approach leads to different conclusions about the progression of the EMU debt crisis. First, the main sources of pure contagion in the later phase of the EMU debt crisis appear to be Italy and Spain and not Greece, Ireland and Portugal. Furthermore, we find that substantial contagion effects among EMU government bond spreads (caused by Ireland and Portugal) already arise during the subprime mortgage crisis and not only during the EMU debt crisis, as one might expect.

Suggested Citation

  • Leschinski, Christian & Bertram, Philip, 2017. "Time varying contagion in EMU government bond spreads," Journal of Financial Stability, Elsevier, vol. 29(C), pages 72-91.
  • Handle: RePEc:eee:finsta:v:29:y:2017:i:c:p:72-91
    DOI: 10.1016/j.jfs.2017.01.007
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    3. Christian Leschinski & Michelle Voges & Philipp Sibbertsen, 2021. "Integration and Disintegration of EMU Government Bond Markets," Econometrics, MDPI, vol. 9(1), pages 1-17, March.
    4. Wegener, Christoph & Kruse, Robinson & Basse, Tobias, 2019. "The walking debt crisis," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 382-402.
    5. António Afonso & João Tovar Jalles, 2020. "Economic volatility and sovereign yields’ determinants: a time-varying approach," Empirical Economics, Springer, vol. 58(2), pages 427-451, February.
    6. Filipa Fernandes & Charalampos Stasinakis & Zivile Zekaite, 2019. "Forecasting government bond spreads with heuristic models: evidence from the Eurozone periphery," Annals of Operations Research, Springer, vol. 282(1), pages 87-118, November.
    7. Oussama Kchaou & Makram Bellalah & Sofiane Tahi, 2022. "Transmission of the Greek crisis on the sovereign debt markets in the euro area," Annals of Operations Research, Springer, vol. 313(2), pages 1117-1139, June.
    8. Gabauer, David, 2021. "Dynamic measures of asymmetric & pairwise connectedness within an optimal currency area: Evidence from the ERM I system," Journal of Multinational Financial Management, Elsevier, vol. 60(C).
    9. Gong, Xu & Jin, Yujing & Liu, Tangyong, 2023. "Analyzing pure contagion between crude oil and agricultural futures markets," Energy, Elsevier, vol. 269(C).

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    More about this item

    Keywords

    C22; C26; E43; G01; G15; Contagion; Sovereign risk; Bond spreads; Rolling window; Instrumental variables;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • G01 - Financial Economics - - General - - - Financial Crises
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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