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Volatility Connectedness of Bank Stocks Across the Atlantic

Author

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  • Kamil Yilmaz

    () (Koc University)

Abstract

This paper presents an analysis of the dynamic measures of volatility connectedness of major bank stocks in the US and the EU member countries. The results show that in the early stages of the US financial crisis in 2007 and 2008, the direction of the volatility connectedness was from the US banks towards the EU banks. However, once the financial crisis became global in the last quarter of 2008, volatility connectedness became bi-directional. The surge in volatility connectedness from the EU banks to the US banks in June 2011 was unprecedented, reflecting the scale of deterioration in the state of the EU banks. Finally, the within-connectedness of the US banks fluctuated throughout our sample period, while the within-connectedness of the EU banks increased steadily since 2007, a reflection of the fact that the European debt and banking crisis has not ended yet.

Suggested Citation

  • Kamil Yilmaz, 2014. "Volatility Connectedness of Bank Stocks Across the Atlantic," Koç University-TUSIAD Economic Research Forum Working Papers 1402, Koc University-TUSIAD Economic Research Forum.
  • Handle: RePEc:koc:wpaper:1402
    as

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    File URL: http://eaf.ku.edu.tr/sites/eaf.ku.edu.tr/files/erf_wp_1402.pdf
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    References listed on IDEAS

    as
    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. Black, Lamont & Correa, Ricardo & Huang, Xin & Zhou, Hao, 2016. "The systemic risk of European banks during the financial and sovereign debt crises," Journal of Banking & Finance, Elsevier, vol. 63(C), pages 107-125.
    3. Matteo Barigozzi & Christian Brownlees, 2013. "Nets: Network Estimation for Time Series," Working Papers 723, Barcelona Graduate School of Economics.
    4. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    5. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    6. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    7. Dungey Mardi & Matteo Luciani & David Veredas, "undated". "Googling SIFIs," ULB Institutional Repository 2013/154950, ULB -- Universite Libre de Bruxelles.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Risk measurement; systemic risk; connectedness; systemically important financial institutions; vector autoregression; variance decomposition;

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • G2 - Financial Economics - - Financial Institutions and Services

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