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Monitoring credit risk in the social economy sector by means of a binary goal programming model

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  • Fernando García
  • Francisco Guijarro
  • Ismael Moya

Abstract

Monitoring the credit risk of firms in the social economy sector presents a considerable challenge, since it is difficult to calculate ratings with traditional methods such as logit or discriminant analysis, due to the relatively small number of firms in the sector and the low default rate among cooperatives. This paper introduces a goal programming model to overcome such constraints and to successfully manage credit risk using economic and financial information, as well as expert advice. After introducing the model, its application to a set of Spanish cooperative societies is described. Copyright Springer-Verlag Berlin Heidelberg 2013

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  • Fernando García & Francisco Guijarro & Ismael Moya, 2013. "Monitoring credit risk in the social economy sector by means of a binary goal programming model," Service Business, Springer;Pan-Pacific Business Association, vol. 7(3), pages 483-495, September.
    • Handle: RePEc:spr:svcbiz:v:7:y:2013:i:3:p:483-495
    DOI: 10.1007/s11628-012-0173-7
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    1. J. F. Juliá-Igual & R. Cervelló-Royo & I. Berné-Lafuente, 2017. "Market value analysis of a Chinese e-commerce holding group: a multicriteria approach," Service Business, Springer;Pan-Pacific Business Association, vol. 11(3), pages 475-490, September.
    2. Paulo Cesar Schotten & Leydiana Sousa Pereira & Danielle Costa Morais, 2022. "Credit granting sorting model for financial organizations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.

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