IDEAS home Printed from https://ideas.repec.org/p/bdi/opques/qef_12_08.html
   My bibliography  Save this paper

Lending organizational structure and the use of credit scoring: evidence from a survey on Italian banks

Author

Listed:
  • Giorgio Albareto

    (Banca d'Italia)

  • Michele Benvenuti

    (Banca d'Italia)

  • Sauro Mocetti

    (Banca d'Italia)

  • Marcello Pagnini

    (Banca d'Italia)

  • Paola Rossi

    (Banca d'Italia)

Abstract

This paper examines the results of a survey carried out in 2007 by the Bank of Italy concerning different characteristics of the organization of lending activities. Between 2003 and 2006 the physical distance between the headquarters and the branches increased, the limits to the decision-making process of loan officers were eased, their mobility raised and the use of economic incentives to reward their activity expanded. The huge heterogeneity in organizational structures persists even within relatively homogenous size classes. The diffusion of statistical models to assess credit risk (scoring), accelerated recently particularly among large banks, boosted by the new Basel Capital Accord. Scoring is either very important or determinant in decisions on credit extension while it is rarely influential in setting interest rates, the duration of the credit and the amount and type of collateral required. The survey shows that banks have been progressively adapting their organizational structure in order to incorporate the credit scoring tools into their lending processes.

Suggested Citation

  • Giorgio Albareto & Michele Benvenuti & Sauro Mocetti & Marcello Pagnini & Paola Rossi, 2008. "Lending organizational structure and the use of credit scoring: evidence from a survey on Italian banks," Questioni di Economia e Finanza (Occasional Papers) 12, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:opques:qef_12_08
    as

    Download full text from publisher

    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2008-0012/QEF_12.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Candida Bussoli & Mariateresa Cuoccio & Claudio Giannotti, 2021. "Discriminant Analysis and Firms’ Bankruptcy: Evidence from European SMEs," International Journal of Business and Management, Canadian Center of Science and Education, vol. 14(12), pages 164-164, July.
    2. Leandro D’Aurizio & Tommaso Oliviero & Livio Romano, 2012. "Family firms and the agency cost of debt: The role of soft information during a crisis," Economics Working Papers ECO2012/22, European University Institute.
    3. Valerio Vacca, 2011. "An unexpected crisis? Looking at pricing effectiveness of different banks," Temi di discussione (Economic working papers) 814, Bank of Italy, Economic Research and International Relations Area.
    4. Albertazzi, Ugo & Ropele, Tiziano & Sene, Gabriele & Signoretti, Federico Maria, 2014. "The impact of the sovereign debt crisis on the activity of Italian banks," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 387-402.
    5. Magri, Silvia & Pico, Raffaella, 2011. "The rise of risk-based pricing of mortgage interest rates in Italy," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1277-1290, May.
    6. Infante, L. & Piazza, M., 2014. "Political connections and preferential lending at local level: Some evidence from the Italian credit market," Journal of Corporate Finance, Elsevier, vol. 29(C), pages 246-262.

    More about this item

    Keywords

    banking organization; distance; power delegation; credit scoring; relationship lending; technology diffusion;
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

    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:bdi:opques:qef_12_08. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bdigvit.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.