IDEAS home Printed from https://ideas.repec.org/a/ags/joagco/46269.html
   My bibliography  Save this article

An Improved Credit Scoring Function for the St. Paul Bank for Cooperatives

Author

Listed:
  • Fischer, Martin L.
  • Moore, Karen

Abstract

A new credit scoring function for classifying Bank of Cooperatives loans, pricing loans based on credit risk, screening loan applications, and diagnosing credit weaknesses was estimated using stepwise logistic regression analysis. Two versions were estimated, dichotomous and polychotomous. The dichotomous model is judged superior for the above uses. The model was tested for validity for different types of cooperatives. In a combined estimating and test sample of 708 cooperatives, the model correctly classifies 92 percent of cooperatives in a 2-class system and 70 percent in a 4-class system.

Suggested Citation

  • Fischer, Martin L. & Moore, Karen, 1986. "An Improved Credit Scoring Function for the St. Paul Bank for Cooperatives," Journal of Agricultural Cooperation, National Council of Farmer Cooperatives, vol. 1, pages 1-11.
  • Handle: RePEc:ags:joagco:46269
    DOI: 10.22004/ag.econ.46269
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/46269/files/Volume%201%20Article%202.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.46269?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Kaylen, Michael S. & Devino, Gary T. & Procter, Michael H., 1988. "Optimal Use Of Qualitative Models: An Application To Country Grain Elevator Bankruptcies," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(2), pages 1-7, December.
    2. Babetskaya, Lyubov, 2001. "Enhancing The Performance Of Risk-Rating Models At Community Banks," 2001 Annual meeting, August 5-8, Chicago, IL 20690, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Rambaldi, Alicia N. & Zapata, Hector O. & Christy, Ralph D., 1992. "Selecting The "Best" Prediction Model: An Application To Agricultural Cooperatives," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 24(1), pages 1-7, July.
    4. Barry, Peter J. & Ellinger, Paul N., 1989. "Credit Scoring, Loan Pricing, And Farm Business Performance," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(1), pages 1-11, July.

    More about this item

    Keywords

    Agribusiness; Agricultural Finance;

    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:ags:joagco:46269. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/daksuus.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.