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Measuring the propagation of financial distress with Granger-causality tail risk networks

Corsi, F., Lillo, F., Pirino, D. & Trapin, L. (2018). Measuring the propagation of financial distress with Granger-causality tail risk networks. Journal of Financial Stability, 38, pp. 18-36. doi: 10.1016/j.jfs.2018.06.003


Using the test of Granger-causality in tail of Hong et al. (2009), we define and construct Granger-causality tail risk networks between 33 systemically important banks (G-SIBs) and 36 sovereign bonds worldwide. Our purpose is to exploit the structure of the Granger-causality tail risk networks to identify periods of distress in financial markets and possible channels of systemic risk propagation. Combining measures of connectedness of these networks with the ratings of the sovereign bonds, we propose a flight-to-quality indicator to identify periods of turbulence in the market. Our measure clearly peaks at the onset of the European sovereign debt crisis, signaling the instability of the financial system. Finally, we use the connectedness measures of the networks to forecast the quality of sovereign bonds. We find that connectedness is a significant predictor of the cross-section of bond quality.

Publication Type: Article
Additional Information: © 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (
Publisher Keywords: Financial stability, Systemic risk propagation, Granger-causality Sovereign debt crisis, Illiquidity, Flight-to-quality
Subjects: H Social Sciences > HG Finance
Departments: School of Arts & Social Sciences > Economics
Text - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

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