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Measuring and testing for the systemically important financial institutions

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  • Carlos Castro

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  • Stijn Ferrari

Abstract

This paper analyzes the measure of systemic importance ΔCoVaR proposed by Adrian and Brunnermeier (2009, 2010) within the context of a similar class of risk measures used in the risk management literature. Inaddition, we develop a series of testing procedures, based on ΔCoVaR, toidentify and rank the systemically important institutions. We stress the importance of statistical testing in interpreting the measure of systemicx importance. An empirical application illustrates the testing procedures, using equity data for three European banks.

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  • Carlos Castro & Stijn Ferrari, 2011. "Measuring and testing for the systemically important financial institutions," DOCUMENTOS DE TRABAJO 008779, UNIVERSIDAD DEL ROSARIO.
  • Handle: RePEc:col:000092:008779
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    Cited by:

    1. Nucera, Federico & Schwaab, Bernd & Koopman, Siem Jan & Lucas, André, 2016. "The information in systemic risk rankings," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 461-475.
    2. Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2017. "Taming macroeconomic instability: Monetary and macro-prudential policy interactions in an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 117-140.
    3. repec:spr:annopr:v:262:y:2018:i:2:d:10.1007_s10479-016-2113-8 is not listed on IDEAS
    4. van de Leur, Michiel C.W. & Lucas, André & Seeger, Norman J., 2017. "Network, market, and book-based systemic risk rankings," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 84-90.
    5. Tobias Adrian & Markus K. Brunnermeier, 2016. "CoVaR," American Economic Review, American Economic Association, vol. 106(7), pages 1705-1741, July.
      • Adrian, Tobias & Brunnermeier, Markus K., 2008. "CoVaR," Staff Reports 348, Federal Reserve Bank of New York, revised 01 Sep 2014.
      • Tobias Adrian & Markus K. Brunnermeier, 2011. "CoVaR," NBER Working Papers 17454, National Bureau of Economic Research, Inc.
    6. repec:eee:ecofin:v:43:y:2018:i:c:p:141-157 is not listed on IDEAS
    7. Mauro Bernardi & Leopoldo Catania, 2015. "Switching-GAS Copula Models With Application to Systemic Risk," Papers 1504.03733, arXiv.org, revised Jan 2016.
    8. Mikhail Stolbov, 2017. "Assessing systemic risk and its determinants for advanced and major emerging economies: the case of ΔCoVaR," International Economics and Economic Policy, Springer, vol. 14(1), pages 119-152, January.
    9. repec:eee:ecmode:v:67:y:2017:i:c:p:55-72 is not listed on IDEAS
    10. H. Dewachter & G. de Walque & M. Emiris & P. Ilbas & J. Mitchell & R. Wouters, 2012. "Endogenous financial risk : The seventh international conference of the NBB," Economic Review, National Bank of Belgium, issue iii, pages 135-146, December.
    11. Souza, Sergio Rubens Stancato de & Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2016. "Evaluating systemic risk using bank default probabilities in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 66(C), pages 54-75.
    12. repec:eee:empfin:v:43:y:2017:i:c:p:1-32 is not listed on IDEAS
    13. Giovanni Bonaccolto & Massimiliano Caporin, 2016. "The Determinants of Equity Risk and Their Forecasting Implications: A Quantile Regression Perspective," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 9(3), pages 1-25, July.
    14. Georgios Moratis & Plutarchos Sakellaris, 2017. "Measuring the systemic importance of banks," Working Papers 240, Bank of Greece.
    15. Olivier de Bandt & Jean-Cyprien Héam & Claire Labonne & Santiago Tavolaro, 2015. "La mesure du risque systémique après la crise financière," Revue économique, Presses de Sciences-Po, vol. 66(3), pages 481-500.
    16. Bernal, Oscar & Gnabo, Jean-Yves & Guilmin, Grégory, 2016. "Economic policy uncertainty and risk spillovers in the Eurozone," Journal of International Money and Finance, Elsevier, vol. 65(C), pages 24-45.
    17. repec:eee:intfin:v:50:y:2017:i:c:p:52-68 is not listed on IDEAS
    18. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.

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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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