IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Recovery rates of commercial lending: Empirical evidence for German companies

  • Grunert, Jens
  • Weber, Martin
Registered author(s):

    There are very few studies concerning the recovery rate of bank loans. Prediction models of recovery rates are increasing in importance because of the Basel II-framework, the impact on credit risk management, and the calculation of loan rates. In this study, we focus the analyses on the distribution of recovery rates and the impact of the quota of collateral, the creditworthiness of the borrower, the size of the company and the intensity of the client relationship on the recovery rate. All our hypotheses can be confirmed. A higher quota of collateral leads to a higher recovery rate, whereas the risk premium of the borrower and the size of the company is negatively related to the recovery rate. Borrowers with an intense client relationship with the bank exhibit a higher recovery rate.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.sciencedirect.com/science/article/B6VCY-4TDC0D8-2/2/ddb8ad51a3503cb8a79feed5409773b2
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal Journal of Banking & Finance.

    Volume (Year): 33 (2009)
    Issue (Month): 3 (March)
    Pages: 505-513

    as
    in new window

    Handle: RePEc:eee:jbfina:v:33:y:2009:i:3:p:505-513
    Contact details of provider: Web page: http://www.elsevier.com/locate/jbf

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Michael Manove & A. Jorge Padilla, 1999. "Banking (Conservatively) with Optimists," RAND Journal of Economics, The RAND Corporation, vol. 30(2), pages 324-350, Summer.
    2. Yakov Amihud & Kenneth Garbade & Marcel Kahan, 2000. "An Institutional Innovation To Reduce The Agency Costs Of Public Corporate Bonds," Journal of Applied Corporate Finance, Morgan Stanley, vol. 13(1), pages 114-121.
    3. Acharya, Viral V. & Bharath, Sreedhar T. & Srinivasan, Anand, 2007. "Does industry-wide distress affect defaulted firms? Evidence from creditor recoveries," Journal of Financial Economics, Elsevier, vol. 85(3), pages 787-821, September.
    4. Machauer, Achim & Weber, Martin, 1998. "Bank behavior based on internal credit ratings of borrowers," CFS Working Paper Series 1998/08, Center for Financial Studies (CFS).
    5. Allen N. Berger & Gregory F. Udell, 1990. "Some evidence on the empirical significance of credit rationing," Finance and Economics Discussion Series 105, Board of Governors of the Federal Reserve System (U.S.).
    6. Dermine, J. & de Carvalho, C. Neto, 2006. "Bank loan losses-given-default: A case study," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1219-1243, April.
    7. Chan, Yuk-Shee & Kanatas, George, 1985. "Asymmetric Valuations and the Role of Collateral in Loan Agreements," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 17(1), pages 84-95, February.
    8. Angbazo, Lazarus A. & Mei, Jianping & Saunders, Anthony, 1998. "Credit spreads in the market for highly leveraged transaction loans," Journal of Banking & Finance, Elsevier, vol. 22(10-11), pages 1249-1282, October.
    9. Edward I. Altman & Brooks Brady & Andrea Resti & Andrea Sironi, 2005. "The Link between Default and Recovery Rates: Theory, Empirical Evidence, and Implications," The Journal of Business, University of Chicago Press, vol. 78(6), pages 2203-2228, November.
    10. Jimenez, Gabriel & Saurina, Jesus, 2004. "Collateral, type of lender and relationship banking as determinants of credit risk," Journal of Banking & Finance, Elsevier, vol. 28(9), pages 2191-2212, September.
    11. Manove, Michael & Padilla, A Jorge & Pagano, Marco, 2001. "Collateral versus Project Screening: A Model of Lazy Banks," RAND Journal of Economics, The RAND Corporation, vol. 32(4), pages 726-44, Winter.
    12. Besanko, David & Thakor, Anjan V., 1987. "Competitive equilibrium in the credit market under asymmetric information," Journal of Economic Theory, Elsevier, vol. 42(1), pages 167-182, June.
    13. Berger, Allen N. & Udell, Gregory F., 1990. "Collateral, loan quality and bank risk," Journal of Monetary Economics, Elsevier, vol. 25(1), pages 21-42, January.
    14. Booth, James R., 1992. "Contract costs, bank loans, and the cross-monitoring hypothesis," Journal of Financial Economics, Elsevier, vol. 31(1), pages 25-41.
    15. Thorburn, Karin S., 2000. "Bankruptcy auctions: costs, debt recovery, and firm survival," Journal of Financial Economics, Elsevier, vol. 58(3), pages 337-368, December.
    16. Delgado, J. & Salas, V. & Saurina, J., 2007. "Joint size and ownership specialization in bank lending," Journal of Banking & Finance, Elsevier, vol. 31(12), pages 3563-3583, December.
    17. Machauer, Achim & Weber, Martin, 1998. "Bank behavior based on internal credit ratings of borrowers," Journal of Banking & Finance, Elsevier, vol. 22(10-11), pages 1355-1383, October.
    18. Bester, Helmut, 1985. "Screening vs. Rationing in Credit Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 75(4), pages 850-55, September.
    19. Scott, Jonathan A. & Smith, Terence C., 1986. "The effect of the Bankruptcy Reform Act of 1978 on small business loan pricing," Journal of Financial Economics, Elsevier, vol. 16(1), pages 119-140, May.
    20. Shleifer, Andrei & Vishny, Robert W, 1992. " Liquidation Values and Debt Capacity: A Market Equilibrium Approach," Journal of Finance, American Finance Association, vol. 47(4), pages 1343-66, September.
    21. Gabriel Jiménez & Jesús Saurina, 2004. "Collateral, type of lender and relationship banking as determinants of credit risk," Banco de Espa�a Working Papers 0414, Banco de Espa�a.
    22. Orgler, Yair E, 1970. "A Credit Scoring Model for Commercial Loans," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 2(4), pages 435-45, November.
    23. Hester, Donald D, 1979. "Customer Relationships and Terms of Loans: Evidence from a Pilot Survey: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 11(3), pages 349-57, August.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:jbfina:v:33:y:2009:i:3:p:505-513. 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: (Zhang, Lei)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.