Measuring and testing for the systemically important financial institutions
AbstractThis 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.
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Bibliographic InfoPaper provided by National Bank of Belgium in its series Working Paper Research with number 228.
Length: 55 pages
Date of creation: Oct 2012
Date of revision:
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Systemic risk; SIFIs; interconnectedness; quantile regression; stochastic dominance test;
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- 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-10-20 (All new papers)
- NEP-BAN-2012-10-20 (Banking)
- NEP-RMG-2012-10-20 (Risk Management)
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