IDEAS home Printed from https://ideas.repec.org/a/taf/eurjfi/v24y2018i15p1253-1271.html
   My bibliography  Save this article

The Comprehensive Assessment: What lessons can be learned?

Author

Listed:
  • Emilio Barucci
  • Roberto Baviera
  • Carlo Milani

Abstract

Analysing the database made available by the European Central Bank and by the European Banking Authority, we evaluate the Comprehensive Assessment (CA) (Asset Quality Review and Stress Test (ST)) of banks carried out in 2014. In a nutshell, the main results are: (i) risk-adjusted capital ratios are negatively related to the Asset Quality Review shortfall, but not to the ST shortfall, whereas the leverage ratio plays a significant role in both cases; (ii) the CA predominantly concentrated on traditional credit activity rather than on banks’ financial assets and (iii) the CA seems to be characterized by double standards. The Asset Quality Review was severe with banks operating in non-core countries, while medium-sized banks were either riskier or were treated severely in both exercises. The analysis leads to a puzzle: comparatively, the assessment per se led to significant adjustments for solid banks and large shortfalls for weak banks. The puzzle can be resolved by referring to the legacy of the country’s former supervisory activity and to the low level of capitalization of weak banks mostly in peripheral countries.Abbreviations: ADJ_AQR: adjustment due to the AQR; ADJ_ST: adjustment due to the ST adverse scenario; AQR: asset quality review; bps: basis points (1 bp is equal to 0.01%); bn: billion; CA: comprehensive assessment; CET1: common equity tier 1; CR: coverage ratio; CRD/CRR: capital requirements directive/capital requirements regulation; CVA: credit valuation adjustment; EBA: European Banking Authority; ECB: European Central Bank; LM test: Lagrange-multiplier test; NPE: Non-performing exposure; RWA: risk-weighted asset; SF_AQR: shortfall due to the AQR; SF_ST: shortfall due to the ST adverse scenario; SREP: supervisory review and evaluation process; SSM: single supervisory mechanism; ST: stress test; tr: trillion (one thousand of billions)

Suggested Citation

  • Emilio Barucci & Roberto Baviera & Carlo Milani, 2018. "The Comprehensive Assessment: What lessons can be learned?," The European Journal of Finance, Taylor & Francis Journals, vol. 24(15), pages 1253-1271, October.
  • Handle: RePEc:taf:eurjfi:v:24:y:2018:i:15:p:1253-1271
    DOI: 10.1080/1351847X.2017.1414703
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1351847X.2017.1414703
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lukas Ahnert & Pascal Vogt & Volker Vonhoff & Florian Weigert, 2018. "The Impact of Regulatory Stress Testing on Bank's Equity and CDS Performance," Working Papers on Finance 1814, University of St. Gallen, School of Finance.
    2. Iryna Okolelova & Jacob Bikker, 2018. "The Single Supervisory Mechanism: competitive implications for the banking sectors in the euro area," DNB Working Papers 621, Netherlands Central Bank, Research Department.
    3. Ahnert, Lukas & Vogt, Pascal & Vonhoff, Volker & Weigert, Florian, 2020. "Regulatory stress testing and bank performance," CFR Working Papers 20-03, University of Cologne, Centre for Financial Research (CFR).
    4. Douglas da Rosa München & Herbert Kimura, 2020. "Regulatory Banking Leverage: what do you know?," Working Papers Series 540, Central Bank of Brazil, Research Department.
    5. Giovanna Paladino & Zeno Rotondi, 2020. "Banking business models and risk: Findings from the ECB's comprehensive assessment," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 49(2), July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:eurjfi:v:24:y:2018:i:15:p:1253-1271. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.tandfonline.com/REJF20 .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/REJF20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.