IDEAS home Printed from https://ideas.repec.org/p/fip/fedfwp/2009-02.html
   My bibliography  Save this paper

EAD calibration for corporate credit lines

Author

Listed:
  • Gabriel Jimenez
  • Jose A. Lopez
  • Jesus Saurina

Abstract

Managing the credit risk inherent to a corporate credit line is similar to that of a term loan, but with one key difference. For both instruments, the bank should know the borrower's probability of default (PD) and the facility's loss given default (LGD). However, since a credit line allows the borrowers to draw down the committed funds according to their own needs, the bank must also have a measure of the line's exposure at default (EAD). Our study, which is based on a census of all corporate lending within Spain over the last 20 years, provides the most comprehensive overview of corporate credit line use and EAD calculations to date. Our analysis shows that defaulting firms have significantly higher credit line usage rates and EAD values up to five years prior to their actual default. Furthermore, we find that there are important variations in EAD values due to credit line size, collateralization, and maturity. While our results are derived from data for a single country, they should provide useful benchmarks for further academic, business and policy research into this underdeveloped area of credit risk management.

Suggested Citation

  • Gabriel Jimenez & Jose A. Lopez & Jesus Saurina, 2009. "EAD calibration for corporate credit lines," Working Paper Series 2009-02, Federal Reserve Bank of San Francisco.
  • Handle: RePEc:fip:fedfwp:2009-02
    as

    Download full text from publisher

    File URL: http://www.frbsf.org/publications/economics/papers/2009/wp09-02bk.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gabriel Jiménez & Jose A. Lopez & Jesus Saurina, 2009. "Empirical Analysis of Corporate Credit Lines," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5069-5098, December.
    2. Anil K. Kashyap & Raghuram Rajan & Jeremy C. Stein, 2002. "Banks as Liquidity Providers: An Explanation for the Coexistence of Lending and Deposit‐taking," Journal of Finance, American Finance Association, vol. 57(1), pages 33-73, February.
    3. Gregorio Moral, 2006. "EAD Estimates for Facilities with Explicit Limits," Springer Books, in: Bernd Engelmann & Robert Rauhmeier (ed.), The Basel II Risk Parameters, chapter 0, pages 197-242, Springer.
    4. Jimenez, Gabriel & Salas, Vicente & Saurina, Jesus, 2006. "Determinants of collateral," Journal of Financial Economics, Elsevier, vol. 81(2), pages 255-281, August.
    5. Bernd Engelmann & Robert Rauhmeier (ed.), 2006. "The Basel II Risk Parameters," Springer Books, Springer, number 978-3-540-33087-5, September.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Hon, Pak Shun & Bellotti, Tony, 2016. "Models and forecasts of credit card balance," European Journal of Operational Research, Elsevier, vol. 249(2), pages 498-505.
    2. Rafael Repullo & Jesús Saurina, 2011. "The Countercyclical Capital Buffer of Basel III: A Critical Assessment," Working Papers wp2011_1102, CEMFI, revised Jun 2011.
    3. Gabriel Jiménez & Jose A. Lopez & Jesus Saurina, 2009. "Empirical Analysis of Corporate Credit Lines," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5069-5098, December.
    4. Bergerès, Anne-Sophie & d'Astous, Philippe & Dionne, Georges, 2015. "Is there any dependence between consumer credit line utilization and default probability on a term loan? Evidence from bank-customer data," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 276-286.

    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. Gabriel Jiménez & Jose A. Lopez & Jesus Saurina, 2009. "Empirical Analysis of Corporate Credit Lines," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5069-5098, December.
    2. Leow, Mindy & Crook, Jonathan, 2016. "A new Mixture model for the estimation of credit card Exposure at Default," European Journal of Operational Research, Elsevier, vol. 249(2), pages 487-497.
    3. Paul Pelzl & María Teresa Valderrama, 2019. "Capital regulations and the management of credit commitments during crisis times," DNB Working Papers 661, Netherlands Central Bank, Research Department.
    4. Felipe Restrepo & Lina Cardona‐Sosa & Philip E. Strahan, 2019. "Funding Liquidity without Banks: Evidence from a Shock to the Cost of Very Short‐Term Debt," Journal of Finance, American Finance Association, vol. 74(6), pages 2875-2914, December.
    5. Duran, Miguel A., 2022. "The risk–return relation in the corporate loan market," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    6. Maria Stefanova, 2012. "Recovery Risiko in der Kreditportfoliomodellierung," Springer Books, Springer, number 978-3-8349-4226-5, September.
    7. Chodorow-Reich, Gabriel & Darmouni, Olivier & Luck, Stephan & Plosser, Matthew, 2022. "Bank liquidity provision across the firm size distribution," Journal of Financial Economics, Elsevier, vol. 144(3), pages 908-932.
    8. Rafael Repullo & Jesús Saurina & Carlos Trucharte, 2010. "Mitigating the pro-cyclicality of Basel II [Bank loan loss provisions: a re-examination of capital management, earnings management and signalling effects]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 25(64), pages 659-702.
    9. Jiménez, Gabriel & Lopez, Jose A. & Saurina, Jesús, 2013. "How does competition affect bank risk-taking?," Journal of Financial Stability, Elsevier, vol. 9(2), pages 185-195.
    10. Jiménez, Gabriel & Mencía, Javier, 2009. "Modelling the distribution of credit losses with observable and latent factors," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 235-253, March.
    11. Ruprecht, Benedikt & Entrop, Oliver & Kick, Thomas & Wilkens, Marco, 2013. "Market Timing, Maturity Mismatch, and Risk Management: Evidence from the Banking Industry," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79733, Verein für Socialpolitik / German Economic Association.
    12. Ivashina, Victoria & Laeven, Luc & Moral-Benito, Enrique, 2022. "Loan types and the bank lending channel," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 171-187.
    13. Ricci, Lorenzo & Soggia, Giovanni & Trimarchi, Lorenzo, 2023. "The impact of bank lending standards on credit to firms," Journal of Banking & Finance, Elsevier, vol. 152(C).
    14. Pinaki Bag & Michael Jacobs, 2011. "Parsimonious exposure-at-default modeling for unfunded loan commitments," Journal of Risk Finance, Emerald Group Publishing, vol. 13(1), pages 77-94, December.
    15. Mosk, Thomas, 2018. "Bargaining with a bank," SAFE Working Paper Series 211, Leibniz Institute for Financial Research SAFE.
    16. Gabriel Jiménez & Vicente Salas‐Fumás & Jesús Saurina, 2011. "The Effects of Formal and Informal Contracting in Credit Availability," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 109-132, February.
    17. Memmel, Christoph & Gündüz, Yalin & Raupach, Peter, 2015. "The common drivers of default risk," Journal of Financial Stability, Elsevier, vol. 16(C), pages 232-247.
    18. Lorenzo Gai & Federica Ielasi, 2014. "Operational drivers affecting credit risk of mutual guarantee institutions," Journal of Risk Finance, Emerald Group Publishing, vol. 15(3), pages 275-293, May.
    19. Acharya, Viral & Almeida, Heitor & Ippolito, Filippo & Perez, Ander, 2014. "Bank lines of credit as contingent liquidity: A study of covenant violations and their implications," Working Paper Series 1702, European Central Bank.
    20. Bag, Pinaki, 2010. "Exposure at Default Model for Contingent Credit Line," MPRA Paper 20387, University Library of Munich, Germany.

    More about this item

    Keywords

    Commercial loans; Bank loans; Credit;
    All these keywords.

    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:fip:fedfwp:2009-02. 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: Federal Reserve Bank of San Francisco Research Library (email available below). General contact details of provider: https://edirc.repec.org/data/frbsfus.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.