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Bank and sovereign risk feedback loops

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  • Aitor Erce

Abstract

Measures of Sovereign and Bank Risk show occasional bouts of increased correlation, setting the stage for vicious and virtuous feedback loops. This paper models the macroeconomic phenomena underlying such bouts using CDS data for 10 euro-area countries. The results show that Sovereign Risk feeds back into Bank Risk more strongly than vice versa. Countries with sovereigns that are more indebted or where banks have a larger exposure to their own sovereign, suffer larger feedback loop effects from Sovereign Risk into Bank Risk. In the opposite direction, in countries where banks fund their activities with more foreign credit and support larger levels of non-performing loans, the feedback from Bank Risk into Sovereign Risk is stronger. According to model estimates, financial rescue operations can increase feedback effects from bank risk into sovereign risk. These results can be useful for the official sector when deciding on the form of financial rescues.

Suggested Citation

  • Aitor Erce, 2015. "Bank and sovereign risk feedback loops," Globalization Institute Working Papers 227, Federal Reserve Bank of Dallas.
  • Handle: RePEc:fip:feddgw:227
    DOI: 10.24149/gwp227
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Dufrénot, Gilles & Gente, Karine & Monsia, Frédia, 2016. "Macroeconomic imbalances, financial stress and fiscal vulnerability in the euro area before the debt crises: A market view," Journal of International Money and Finance, Elsevier, vol. 67(C), pages 123-146.
    2. Mattia Osvaldo Picarelli & Willem Vanlaer & Wim Marneffe, 2019. "Does Public Debt Produce a Crowding Out Effect for Public Investment in the EU?," Working Papers 36, European Stability Mechanism.
    3. Ben R. Craig & Margherita Giuzio & Sandra Paterlini, 2019. "The Effect of Possible EU Diversification Requirements on the Risk of Banks’ Sovereign Bond Portfolios," Working Papers 19-12, Federal Reserve Bank of Cleveland.
    4. V. Rasskazov E. & В. Рассказов Е., 2016. "Измерение Финансового Заражения На Примере Моделирования Риска Банковского Дефолта // The Methodology For Measuring Financial Contagion: The Case Study Of Bank Default Risk Simulation," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 20(3), pages 54-61.
    5. Polat, Tandogan, 2016. "Essays on banking sector’s dynamics, expectations, preferences and impact," Other publications TiSEM d064f029-f91e-47bc-b6d3-0, Tilburg University, School of Economics and Management.
    6. Peter Schwendner & Martin Schuele & Thomas Ott & Martin Hillebrand, 2015. "European Government Bond Dynamics and Stability Policies: Taming Contagion Risks," Working Papers 8, European Stability Mechanism.
    7. Bales, Stephan, 2022. "Sovereign and bank dependence in the eurozone: A multi-scale approach using wavelet-network analysis," International Review of Financial Analysis, Elsevier, vol. 83(C).
    8. Maria Manuel Campos & Ana Rita Mateus, 2019. "Sovereign exposures in the Portuguese banking system: determinants and dynamics," Working Papers w201916, Banco de Portugal, Economics and Research Department.

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    More about this item

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt

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