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Measuring and testing for the systemically important financial institutions

Author

Listed:
  • Carlos Castro

    (Faculty of Economics, Universidad del Rosario, Colombia)

  • Stijn Ferrari

    (National Bank of Belgium)

Abstract

This paper analyses Delta CoVaR proposed by Adrian and Brunnermeier (2008) as a tool for identifying/ranking systemically important institutions and assessing interconnectedness. We develop a test of significance of Delta CoVaR that allows determining whether or not a financial institution can be classified as being systemically important on the basis of the estimated systemic risk contribution, as well as a test of dominance aimed at testing whether or not, according to Delta CoVaR, one financial institution is more systemically important than another. We provide two applications on a sample of 26 large European banks to show the importance of statistical testing when using Delta CoVaR, and more generally also other market-based systemic risk measures, in this context.

Suggested Citation

  • Carlos Castro & Stijn Ferrari, 2012. "Measuring and testing for the systemically important financial institutions," Working Paper Research 228, National Bank of Belgium.
    • Handle: RePEc:nbb:reswpp:201210-228
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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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