IDEAS home Printed from https://ideas.repec.org/p/bis/bisbcw/15.html

Studies on credit risk concentration: an overview of the issues and a synopsis of the results from the Research Task Force project

Author

Listed:
  • Bank for International Settlements

Abstract

Historical experience shows that concentration of credit risk in asset portfolios has been one of the major causes of bank distress. This is true both for individual institutions as well as banking systems at large. It is therefore important to measure concentration risk in credit portfolios of banks that arises from two sources, systematic and idiosyncratic. Systematic risk represents the effect of unexpected changes in macroeconomic and financial market conditions on the performance of borrowers. Idiosyncratic risk represents the effects of risks that are peculiar to individual firms. The model framework for the internal ratings-based (IRB) approach of the Basel II Framework assumes that (a) there is only a single source of systematic risk, and (b) bank portfolios are perfectly fine-grained in the sense that as the largest individual exposures account for a smaller and smaller share of total portfolio exposure, idiosyncratic risk is diversified away at the portfolio level. To the extent that either assumption is violated, IRB capital requirements may understate the true economic capital requirement. The Concentration Risk Group of the Research Task Force of the Basel Committee on Banking Supervision undertook a principally analytical project with the following objectives: (i) to provide an overview of the issues and current practice in a sample of the more advanced banks as well as highlight the main policy issues that arise in this context; (ii) to assess the extent to which "real world" deviations from the "stylised world" behind the assumptions of the IRB model can result in important deviations of economic capital from Pillar¿1 capital charges in the IRB approach; and (iii) to examine and further develop fit-for-purpose tools that can be used in the quantification of concentration risk. This paper provides an overview of the work conducted by this group and its findings. The various methodologies for the treatment of concentration risk which were analysed or refined by the group aim to reflect the current state of research in the industry and in academia.

Suggested Citation

  • Bank for International Settlements, 2006. "Studies on credit risk concentration: an overview of the issues and a synopsis of the results from the Research Task Force project," BCBS Working Papers 15, Bank for International Settlements.
  • Handle: RePEc:bis:bisbcw:15
    as

    Download full text from publisher

    File URL: https://www.bis.org/publ/bcbs_wp15.pdf
    File Function: Full PDF document
    Download Restriction: no

    File URL: https://www.bis.org/publ/bcbs_wp15.htm
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Klaus Düllmann & Nancy Masschelein, 2006. "The impact of sector concentration in loan portfolios on economic capital," Financial Stability Review, National Bank of Belgium, vol. 4(1), pages 175-187, June.
    2. Gourieroux, C. & Laurent, J. P. & Scaillet, O., 2000. "Sensitivity analysis of Values at Risk," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 225-245, November.
    3. Masschelein, Nancy & Düllmann, Klaus, 2006. "Sector concentration in loan portfolios and economic capital," Discussion Paper Series 2: Banking and Financial Studies 2006,09, Deutsche Bundesbank.
    4. M. Davis & V. Lo, 2001. "Infectious defaults," Quantitative Finance, Taylor & Francis Journals, vol. 1(4), pages 382-387.
    5. Umberto Cherubini & Giovanni Lunga, 1999. "Stress testing techniques and value-at-risk measures: A unified approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 22(1), pages 77-99, March.
    6. Gordy, Michael B., 2003. "A risk-factor model foundation for ratings-based bank capital rules," Journal of Financial Intermediation, Elsevier, vol. 12(3), pages 199-232, July.
    7. Klaus Düllmann & Nancy Masschelein, 2006. "Sector Concentration in Loan Portfolios and Economic Capital," Working Paper Research 105, National Bank of Belgium.
    8. Sanjiv R. Das & Darrell Duffie & Nikunj Kapadia & Leandro Saita, 2007. "Common Failings: How Corporate Defaults Are Correlated," Journal of Finance, American Finance Association, vol. 62(1), pages 93-117, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rosen, Dan & Saunders, David, 2009. "Analytical methods for hedging systematic credit risk with linear factor portfolios," Journal of Economic Dynamics and Control, Elsevier, vol. 33(1), pages 37-52, January.
    2. Mager, Ferdinand & Schmieder, Christian, 2008. "Stress testing of real credit portfolios," Discussion Paper Series 2: Banking and Financial Studies 2008,17, Deutsche Bundesbank.
    3. Klaus Düllmann & Nancy Masschelein, 2007. "A Tractable Model to Measure Sector Concentration Risk in Credit Portfolios," Journal of Financial Services Research, Springer;Western Finance Association, vol. 32(1), pages 55-79, October.
    4. Natalia Nehrebecka, 2018. "Sectoral risk assessment with particular emphasis on export enterprises in Poland," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(2), pages 677-700.
    5. Pierpaolo Grippa & Lucyna Gornicka, 2016. "Measuring Concentration Risk - A Partial Portfolio Approach," IMF Working Papers 2016/158, International Monetary Fund.
    6. Fu, Michael C. & Li, Bingqing & Li, Fei & Wu, Rongwen, 2025. "Contagion network, portfolio credit risk, and financial crisis," European Journal of Operational Research, Elsevier, vol. 321(3), pages 942-957.
    7. Lyons, Paul & Nevin, Ciarán & Shaw, Frances, 2019. "Real-estate concentration in the Irish banking system," Financial Stability Notes 4/FS/19, Central Bank of Ireland.
    8. Hanson, Samuel G. & Pesaran, M. Hashem & Schuermann, Til, 2008. "Firm heterogeneity and credit risk diversification," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 583-612, September.
    9. Nikola Tarashev & Haibin Zhu, 2008. "Specification and Calibration Errors in Measures of Portfolio Credit Risk: The Case of the ASRF Model," International Journal of Central Banking, International Journal of Central Banking, vol. 4(2), pages 129-173, June.
    10. Nicholas M. Kiefer, 2011. "Default estimation, correlated defaults, and expert information," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 173-192, March.
    11. Susanne Emmer & Dirk Tasche, . "Calculating credit risk capital charges with the one-factor model," Journal of Risk, Journal of Risk.
    12. Nicholas M. Kiefer, 2017. "Correlated defaults, temporal correlation, expert information and predictability of default rates," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 699-712, October.
    13. Nancy Masschelein & Kostas Tsatsaronis, 2008. "Measuring default risk in the trading book," Financial Stability Review, National Bank of Belgium, vol. 6(1), pages 163-172, June.
    14. Furman, Edward & Kye, Yisub & Su, Jianxi, 2021. "Multiplicative background risk models: Setting a course for the idiosyncratic risk factors distributed phase-type," Insurance: Mathematics and Economics, Elsevier, vol. 96(C), pages 153-167.
    15. Matteo Accornero & Giuseppe Cascarino & Roberto Felici & Fabio Parlapiano & Alberto Maria Sorrentino, 2018. "Credit risk in banks’ exposures to non‐financial firms," European Financial Management, European Financial Management Association, vol. 24(5), pages 775-791, November.
    16. Yu Takata, 2018. "Application of Granularity Adjustment Approximation Method to Incremental Value-at-Risk in Concentrated Portfolios," Economics Bulletin, AccessEcon, vol. 38(4), pages 2320-2330.
    17. García-Céspedes, Rubén & Moreno, Manuel, 2017. "An approximate multi-period Vasicek credit risk model," Journal of Banking & Finance, Elsevier, vol. 81(C), pages 105-113.
    18. Yang, Bill Huajian, 2014. "Modeling Systematic Risk and Point-in-Time Probability of Default under the Vasicek Asymptotic Single Risk Factor Model Framework," MPRA Paper 59025, University Library of Munich, Germany.
    19. Edirisinghe, Chanaka & Gupta, Aparna & Roth, Wendy, 2015. "Risk assessment based on the analysis of the impact of contagion flow," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 209-223.
    20. Barbagli, Matteo & Vrins, Frédéric, 2025. "Efficient Monte Carlo estimation of credit concentration risk," LIDAM Discussion Papers LFIN 2025003, Université catholique de Louvain, Louvain Finance (LFIN).

    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:bis:bisbcw:15. See general information about how to correct material in RePEc.

    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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Martin Fessler (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.