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Spillover effects of credit default risk in the euro area and the effects on the Euro: A GVAR approach

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  • Timo Bettendorf

Abstract

During the 2008 financial crisis, increasing risk and spillovers became a main concern for policy makers and banks. In addition, changes in sovereign and bank risk are believed to have had strong effects on world‐wide exchange rates. This paper aims to analyse these dynamics empirically. We estimate a Global VAR (GVAR) model for nine EMU countries plus Japan, the United Kingdom, and the United States and identify structural risk shocks using sign restrictions. Our results indicate that spillover effects of general risk are much stronger than those of bailouts. Furthermore, we demonstrate that the Euro depreciates significantly against the Yen and U.S. dollar following general risk shocks in the euro area and only to a small extent following bailout shocks. The Pound Sterling is not affected by any of these shocks. The Euro variability is, from the EMU perspective, mainly driven by shocks stemming from large countries (e.g., Germany, France, and Italy). However, shocks from third countries also play an important role.

Suggested Citation

  • Timo Bettendorf, 2019. "Spillover effects of credit default risk in the euro area and the effects on the Euro: A GVAR approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 296-312, January.
    • Handle: RePEc:wly:ijfiec:v:24:y:2019:i:1:p:296-312
    DOI: 10.1002/ijfe.1663
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    Cited by:

    1. Jursa, Lukáš & Janků, Jan, 2025. "From the core to the European periphery: Spillover effects of financial cycles," Emerging Markets Review, Elsevier, vol. 68(C).
    2. Foglia, Matteo & Angelini, Eliana, 2020. "The diabolical sovereigns/banks risk loop: A VAR quantile design," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    3. Koráb, Petr & Saadaoui Mallek, Ray & Dibooglu, Sel, 2021. "Effects of quantitative easing on firm performance in the euro area," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    4. Hongsheng Zhang & Wen-Qi Luo & Shangzhao Yang & Jinna Yu, 2023. "Impact of Covid-19 on economic recovery: empirical analysis from China and global economies," Economic Change and Restructuring, Springer, vol. 56(1), pages 57-78, February.
    5. Bacchiocchi, Emanuele & Dragomirescu-Gaina, Catalin, 2024. "Uncertainty spill-overs: When policy and financial realms overlap," Journal of International Money and Finance, Elsevier, vol. 143(C).
    6. Matteo Foglia & Eliana Angelini, 2021. "The triple (T3) dimension of systemic risk: Identifying systemically important banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 7-26, January.
    7. Wu, Qihan & Yan, Dong & Umair, Muhammad, 2023. "Assessing the role of competitive intelligence and practices of dynamic capabilities in business accommodation of SMEs," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1103-1114.

    More about this item

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt

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