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Assessing Interbank Connectedness Using Transmission Decomposition Techniques: an Application to Eurozone SIFIs

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  • Cherry Muijsson

Abstract

This paper aims to disentangle the impact of multiple transmission channels in interbank connectedness. We use the identification properties of a structural vector autoregression with a multivariate GARCH-in-mean structure (SVAR-MGARCH-M) to model the dynamics in equity returns of the Eurozone systemically important financial institutions (SIFIs). We can identify the impacts of multiple transmission channels such as asset communality, interbank deposits, and information contagion. Asset communality is both a factor in the transmission of shocks and a means of diversification: heightened connectedness results in an increase in shock spillovers, which are countered by risk sharing benefits. We show that connectedness increased during the financial crisis with a major role for common exposures. Institutions move from being a net recipient to a net transmitter of shocks when the asset communality channel is taken into account, suggesting that we need to evaluate the systemic importance of an institution using all transmission components.

Suggested Citation

  • Cherry Muijsson, 2014. "Assessing Interbank Connectedness Using Transmission Decomposition Techniques: an Application to Eurozone SIFIs," Cambridge Working Papers in Economics 1438, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:1438
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    References listed on IDEAS

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    1. Chua, Chew Lian & Suardi, Sandy & Tsiaplias, Sarantis, 2012. "An impulse-response function for a VAR with multivariate GARCH-in-Mean that incorporates direct and indirect transmission of shocks," Economics Letters, Elsevier, vol. 117(2), pages 452-454.
    2. Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2012. "Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1121-1141.
    3. Corsetti, Giancarlo & Pericoli, Marcello & Sbracia, Massimo, 2005. "'Some contagion, some interdependence': More pitfalls in tests of financial contagion," Journal of International Money and Finance, Elsevier, vol. 24(8), pages 1177-1199, December.
    4. Bessler, Wolfgang & Nohel, Tom, 2000. "Asymmetric information, dividend reductions, and contagion effects in bank stock returns," Journal of Banking & Finance, Elsevier, vol. 24(11), pages 1831-1848, November.
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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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