IDEAS home Printed from https://ideas.repec.org/p/upf/upfgen/1614.html
   My bibliography  Save this paper

Credit scoring for the supermarket and retailing industry: analysis and application proposal

Author

Abstract

This paper develops and tests a credit scoring model focused on the supermarket and retailing industry which can help financial institutions in assessing credit requests coming from customers belonging to these industries category. The empirical study has the objective of answering two questions: (1) Which ratios better discriminate the companies based on their being solvent or insolvent? (2) What is the relative importance of these ratios? To do this, several statistical techniques with a multifactorial focus have been applied. The overall approach is the same as the one in Altman (1968), but the application of the design as well as the purpose of it are different. Through the application of several statistical techniques, the credit scoring model has been proved to be effective in assessing credit scoring applications within the super-market and retailing industry under certain conditions.

Suggested Citation

  • Raffaele Manini & Oriol Amat, 2018. "Credit scoring for the supermarket and retailing industry: analysis and application proposal," Economics Working Papers 1614, Department of Economics and Business, Universitat Pompeu Fabra.
  • Handle: RePEc:upf:upfgen:1614
    as

    Download full text from publisher

    File URL: https://econ-papers.upf.edu/papers/1614.pdf
    File Function: Whole Paper
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anderson, Raymond, 2007. "The Credit Scoring Toolkit: Theory and Practice for Retail Credit Risk Management and Decision Automation," OUP Catalogue, Oxford University Press, number 9780199226405.
    2. Ligang Zhou & Kin Keung Lai & Jerome Yen, 2009. "Credit Scoring Models With Auc Maximization Based On Weighted Svm," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 677-696.
    3. Hu, Yu-Chiang & Ansell, Jake, 2007. "Measuring retail company performance using credit scoring techniques," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1595-1606, December.
    4. Sørensen, Bent E & Kalemli-Özcan, Sebnem & Volosovych, Vadym & Villegas-Sanchez, Carolina & Yesiltas, Sevcan, 2015. "How to construct nationally representative firm level data from the ORBIS global database," CEPR Discussion Papers 10829, C.E.P.R. Discussion Papers.
    5. Paleologo, Giuseppe & Elisseeff, André & Antonini, Gianluca, 2010. "Subagging for credit scoring models," European Journal of Operational Research, Elsevier, vol. 201(2), pages 490-499, March.
    6. Ochoa P., Juan Camilo & Galeano M., Wilinton & Agudelo V., Luis Gabriel, 2010. "Construcción de un modelo de scoring para el otorgamiento de crédito en una entidad financiera," Perfil de Coyuntura Económica, Universidad de Antioquia, CIE, November.
    7. Sebnem Kalemli-Ozcan & Bent Sorensen & Carolina Villegas-Sanchez & Vadym Volosovych & Sevcan Yesiltas, 2015. "How to Construct Nationally Representative Firm Level Data from the Orbis Global Database: New Facts and Aggregate Implications," NBER Working Papers 21558, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hussein A. Abdou & John Pointon, 2011. "Credit Scoring, Statistical Techniques And Evaluation Criteria: A Review Of The Literature," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 18(2-3), pages 59-88, April.
    2. Stieglitz, Moritz & Setzer, Ralph, 2022. "Firm-level employment, labour market reforms, and bank distress," Journal of International Money and Finance, Elsevier, vol. 120(C).
    3. Fuest, Clemens & Hugger, Felix & Neumeier, Florian, 2022. "Corporate profit shifting and the role of tax havens: Evidence from German country-by-country reporting data," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 454-477.
    4. Marco FRIGERIO & Daniela VANDONE, 2018. "Virtuous or Vicious? Development Banks in Europe," Departmental Working Papers 2018-07, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    5. Alam, M. Jahangir, 2020. "Capital misallocation: Cyclicality and sources," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    6. A‐Sung Hong, 2024. "Beyond the finish line: How losing in patent race drives post‐race innovation," Strategic Management Journal, Wiley Blackwell, vol. 45(5), pages 968-993, May.
    7. Jarkko Harju & Ilpo Kauppinen & Olli Ropponen, 2017. "Firm Responses to an Interest Barrier: Empirical Evidence," EconPol Working Paper 3, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    8. Julia Bachtrögler & Christoph Hammer & Wolf Heinrich Reuter & Florian Schwendinger, 2019. "Guide to the galaxy of EU regional funds recipients: evidence from new data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(1), pages 103-150, February.
    9. Joanna Tyrowicz & Siri Terjesen & Jakub Mazurek, 2017. "All on board? New evidence on board gender diversity from a large panel of firms," GRAPE Working Papers 5, GRAPE Group for Research in Applied Economics.
    10. Peter Gal & Alexander Hijzen, 2016. "The short-term impact of product market reforms: A cross-country firm-level analysis," OECD Economics Department Working Papers 1311, OECD Publishing.
    11. Abele, Christian & Bénassy-Quéré, Agnès & Fontagné, Lionel, 2024. "The impact of financial tightening on firm productivity: Maturity matters," Journal of International Money and Finance, Elsevier, vol. 144(C).
    12. Bailey, Warren & Muradoglu, Gulnur & Onay, Ceylan & Phylaktis, Kate, 2024. "Foreign investors, firm level productivity, and European economic integration," Journal of Corporate Finance, Elsevier, vol. 85(C).
    13. Magud, Nicolas E. & Pienknagura, Samuel, 2024. "The return of expansionary austerity: Firms' investment response to fiscal adjustments in emerging markets," Journal of International Money and Finance, Elsevier, vol. 143(C).
    14. Lidia Smitkova, 2023. "Profits, ‘Superstar’ Firms and Capital Flows," Economics Series Working Papers 1030, University of Oxford, Department of Economics.
    15. Liang, Yan, 2022. "Impact of financial development on outsourcing and aggregate productivity," Journal of Development Economics, Elsevier, vol. 154(C).
    16. Serhan Cevik & Fedor Miryugin, 2022. "Death and taxes: Does taxation matter for firm survival?," Economics and Politics, Wiley Blackwell, vol. 34(1), pages 92-112, March.
    17. Kohler, Wilhelm & Kukharskyy, Bohdan, 2019. "Offshoring under uncertainty," European Economic Review, Elsevier, vol. 118(C), pages 158-180.
    18. Martijn J. Smit, 2017. "Cross-border agglomeration benefits," Letters in Spatial and Resource Sciences, Springer, vol. 10(3), pages 375-383, October.
    19. Castiglione, Concetta & Infante, Davide & Zieba, Marta, 2023. "Public support for performing arts. Efficiency and productivity gains in eleven European countries," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    20. Klein, Daniel & Ludwig, Christopher A. & Nicolay, Katharina, 2020. "Internal digitalization and tax-efficient decision making," ZEW Discussion Papers 20-051, ZEW - Leibniz Centre for European Economic Research.

    More about this item

    Keywords

    Credit scoring; supermarket industry; retail industry; bank analysis.;
    All these keywords.

    JEL classification:

    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration

    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:upf:upfgen:1614. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: http://www.econ.upf.edu/ .

    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.