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Measuring and testing for the systemically important financial institutions

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  • Castro, Carlos
  • Ferrari, Stijn

Abstract

This paper analyzes ΔCoVaR proposed by Adrian and Brunnermeier (2011) as a tool for identifying/ranking systemically important institutions. We develop a test of significance of ΔCoVaR 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 ΔCoVaR, one financial institution is more systemically important than another. We provide an empirical application on a sample of 26 large European banks to show the importance of statistical testing when using ΔCoVaR, and more generally also other market-based systemic risk measures, in this context.

Suggested Citation

  • Castro, Carlos & Ferrari, Stijn, 2014. "Measuring and testing for the systemically important financial institutions," Journal of Empirical Finance, Elsevier, vol. 25(C), pages 1-14.
    • Handle: RePEc:eee:empfin:v:25:y:2014:i:c:p:1-14
    DOI: 10.1016/j.jempfin.2013.10.009
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    More about this item

    Keywords

    Systemic risk; SIFIs; Quantile regression; Stochastic dominance test;
    All these keywords.

    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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