A Theoretical and Empirical Comparison of Systemic Risk Measures

Sylvain Benoît, Gilbert Colletaz, Christophe Hurlin and Christophe Perignon ()
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Sylvain Benoît: LEDa - Laboratoire d'Economie de Dauphine - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres
Gilbert Colletaz: LEO - Laboratoire d'Économie d'Orleans [UMR7322] - UO - Université d'Orléans - UT - Université de Tours - CNRS - Centre National de la Recherche Scientifique

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Abstract: We derive several popular systemic risk measures in a common framework and show that they can be expressed as transformations of market risk measures (e.g. beta). We also derive conditions under which the different measures lead to similar rankings of systemically important financial institutions (SIFIs). In an empirical analysis of US financial institutions, we show that (1) different systemic risk measures identify different SIFIs and that (2) firm rankings based on systemic risk estimates mirror rankings obtained by sorting firms on market risk or liabilities. One-factor linear models explain most of the variability of the systemic risk estimates, which indicates that systemic risk measures fall short in capturing the multiple facets of systemic risk.

Keywords: Banking Regulation; Systemically Important Financial Firms; Marginal Expected Shortfall; SRISK; CoVaR; Systemic vs. Systematic Risk (search for similar items in EconPapers)
Date: 2019-09-19
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Working Paper: A Theoretical and Empirical Comparison of Systemic Risk Measures (2013)
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