IDEAS home Printed from https://ideas.repec.org/p/sol/wpaper/04-017.html
   My bibliography  Save this paper

Asset return correlation in Basel II: implications for credit risk management

Author

Listed:
  • Marie-Paule Laurent

Abstract

The Basel Committee is currently reviewing the Accord on capital adequacy. It should provide new approaches that are more sensitive to risks. This paper focuses on the Internal Rating Based Advanced approach for retail exposures, which is compared to a one systematic factor model in order to highlight the underlying hypotheses of Basel II. The Basel framework assumes that the asset return correlation is solely determined by the probability of default (PD). However, the one-factor model highlights the influence of the volatility of PD on the asset return correlation, especially for low PDs. The assumption of the Basel framework implies first that there may be opportunities for regulatory arbitrage. Second, as the regulatory capital curve is concave in PD, it gives an incentive to decompose the portfolio into segments only for reducing the capital requirement. Finally, the inaccurate measure of asset return correlation might be misleading for credit risk management. The Basel framework is applied to a large portfolio of retail contracts (35,787 individual automotive lease contracts) provided from a major European financial institution. We show that the outcomes of Basel II are empirically relevant.

Suggested Citation

  • Marie-Paule Laurent, 2004. "Asset return correlation in Basel II: implications for credit risk management," Working Papers CEB 04-017.RS, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:sol:wpaper:04-017
    as

    Download full text from publisher

    File URL: https://dipot.ulb.ac.be/dspace/bitstream/2013/14627/1/rou-0222.pdf
    File Function: rou-0222
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:bla:jfinan:v:44:y:1989:i:4:p:909-22 is not listed on IDEAS
    2. Gordy, Michael B., 2000. "A comparative anatomy of credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 119-149, January.
    3. Andrea Sironi & Cristiano Zazzara, 2003. "The Basel Committee proposals for a new capital accord: implications for Italian banks," Review of Financial Economics, John Wiley & Sons, vol. 12(1), pages 99-126.
    4. Schmit, Mathias, 2004. "Credit risk in the leasing industry," Journal of Banking & Finance, Elsevier, vol. 28(4), pages 811-833, April.
    5. Stéphanie Duchemin & Marie-Paule Laurent & Mathias Schmit, 2003. "Asset return correlation: The case of automotive lease portfolios," Working Papers CEB 03-007.RS, ULB -- Universite Libre de Bruxelles.
    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. Annalisa Di Clemente, 2020. "Modeling Portfolio Credit Risk Taking into Account the Default Correlations Using a Copula Approach: Implementation to an Italian Loan Portfolio," JRFM, MDPI, vol. 13(6), pages 1-24, June.
    2. Lee, Yongwoong & Rösch, Daniel & Scheule, Harald, 2021. "Systematic credit risk in securitised mortgage portfolios," Journal of Banking & Finance, Elsevier, vol. 122(C).
    3. Tor Jacobson & Jesper Lindé & Kasper Roszbach, 2005. "Credit Risk Versus Capital Requirements under Basel II: Are SME Loans and Retail Credit Really Different?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 28(1), pages 43-75, October.
    4. Christophe Hurlin & Jérémy Leymarie & Antoine Patin, 2018. "Loss functions for LGD model comparison," Working Papers halshs-01516147, HAL.
    5. Kern, Markus & Rudolph, Bernd, 2001. "Comparative analysis of alternative credit risk models: An application on German middle market loan portfolios," CFS Working Paper Series 2001/03, Center for Financial Studies (CFS).
    6. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August.
    7. Eva Catarineu-Rabell & Patricia Jackson & Dimitrios Tsomocos, 2005. "Procyclicality and the new Basel Accord - banks’ choice of loan rating system," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 26(3), pages 537-557, October.
    8. Ebnother, Silvan & Vanini, Paolo, 2007. "Credit portfolios: What defines risk horizons and risk measurement?," Journal of Banking & Finance, Elsevier, vol. 31(12), pages 3663-3679, December.
    9. Koopman, Siem Jan & Lucas, André, 2008. "A Non-Gaussian Panel Time Series Model for Estimating and Decomposing Default Risk," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 510-525.
    10. Hartmann-Wendels, Thomas, 2004. "Die Bedeutung des Leasings für die Unternehmensfinanzierung: Theoretische Perspektiven und empirische Ergebnisse," Leasing - Wissenschaft & Praxis, Universität zu Köln, Forschungsinstitut für Leasing, vol. 2(2), pages 7-40.
    11. Georges Dionne, 2003. "The Foundationsof Banks' Risk Regulation: A Review of Literature," THEMA Working Papers 2003-46, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    12. Carole Bernard & Ludger Rüschendorf & Steven Vanduffel & Ruodu Wang, 2017. "Risk bounds for factor models," Finance and Stochastics, Springer, vol. 21(3), pages 631-659, July.
    13. Babbs, Simon H & Johnson, Andrew E, 1999. "Severe Loss Probabilities in Portfolio Credit Risk Models," MPRA Paper 22929, University Library of Munich, Germany, revised 14 Jan 2004.
    14. Salvatore D. Tomarchio & Antonio Punzo, 2019. "Modelling the loss given default distribution via a family of zero‐and‐one inflated mixture models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(4), pages 1247-1266, October.
    15. Mark Carey, 2001. "Dimensions of Credit Risk and Their Relationship to Economic Capital Requirements," NBER Chapters, in: Prudential Supervision: What Works and What Doesn't, pages 197-232, National Bureau of Economic Research, Inc.
    16. Michel Dietsch, 2003. "De Bâle II vers Bâle III : les enjeux et les problèmes du nouvel Accord," Revue d'Économie Financière, Programme National Persée, vol. 73(4), pages 325-342.
    17. Siem Jan Koopman & André Lucas & Pieter Klaassen, 2002. "Pro-Cyclicality, Empirical Credit Cycles, and Capital Buffer Formation," Tinbergen Institute Discussion Papers 02-107/2, Tinbergen Institute.
    18. Correa, Arnildo & Marins, Jaqueline & Neves, Myrian & da Silva, Antonio Carlos, 2014. "Credit Default and Business Cycles: An Empirical Investigation of Brazilian Retail Loans," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(3), September.
    19. Arthur M. Berd & Robert F. Engle & Artem Voronov, 2010. "The Underlying Dynamics of Credit Correlations," Papers 1001.0786, arXiv.org.
    20. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.

    More about this item

    Keywords

    credit risk; Basle II; asset correlation;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:sol:wpaper:04-017. 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: Benoit Pauwels (email available below). General contact details of provider: https://edirc.repec.org/data/cebulbe.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.