IDEAS home Printed from https://ideas.repec.org/p/ntd/wpaper/2010-06.html
   My bibliography  Save this paper

Screening good borrowers: Evidence from the small business community

Author

Abstract

The current collapse of credit markets has left small and medium enterprises (SMEs) facing severe credit rationing. The practice of screening borrowers by risk level has become a paramount consideration for both lenders and firms. This paper represents the first empirical test of the screening role of loan contracts that consider collateral-interest margins simultaneously. For our empirical analysis, we use a unique data set composed of bank loans granted by 28 Spanish banks to SMEs. Our results suggest that by combining collateral appropriately with interest rate, borrowers with different risk levels are separated: high-risk borrowers accept loans without collateral and with high interest rates, whereas low-risk borrowers accept loans with real estate collateral and with low interest rates. Hence, we provide the first empirical evidence of the effectiveness of collateral as a screening mechanism, when it is adequately combined with interest rates

Suggested Citation

  • Comeig, Irene & Del Brio, Esther & Fern ndez, Matilde O., "undated". "Screening good borrowers: Evidence from the small business community," Working Papers "New Trends on Business Administration". Documentos de Trabajo "Nuevas Tendencias en Dirección de Empresas". 2010-06, Interuniversity Research Master and Doctorate Program (with a quality mention of ANECA) on "Business Economics", Universities of Valladolid, Burgos, Salamanca and León (Spain). Until 2008, Interuniversity Doctorate Program (with a quality mention of ANECA) “New trends in Business Administration”, Universities of Valladolid, Burgos, and Salamanca (Spain). Master en Investigación y Programa de Docto.
  • Handle: RePEc:ntd:wpaper:2010-06
    as

    Download full text from publisher

    File URL: http://www3.uva.es/empresa/uploads/dt_06_10.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Asymmetric Information; Collateral; Credit Risk; Incentive-Compatible Contracts; Screening Mechanisms;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship

    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:ntd:wpaper:2010-06. 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.

    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: Fortuna-Lindo, Jose M. (email available below). General contact details of provider: https://edirc.repec.org/data/ntuvaes.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.