IDEAS home Printed from https://ideas.repec.org/a/col/000129/019526.html
   My bibliography  Save this article

Aproximación predictiva al riesgo crediticio comercial en empresas alimenticias ecuatorianas

Author

Listed:
  • Katherine Coronel-Pangol
  • Gustavo Flores-Sánchez
  • Jorge Campoverde-Campoverde
  • Armando Romero-Galarza

Abstract

Este artículo tuvo como objetivo analizar la probabilidad de riesgo crediticio comercial de 650 empresas ecuatorianas del sector alimenticio, mediante un análisis estadístico de tipo inferencial e implementación de un modelo de regresión logística. En efecto, se convergió en tres hipótesis que indican que la liquidez, el tamano y la ubicación de la empresa influyen en la probabilidad de riesgo crediticio. Los resultados del modelo evidenciaron significativamente que las empresas ubicadas en la Sierra, grandes y con alta liquidez son las que mayor probabilidad de riesgo presentan; estas derivaciones proporcionan una aproximación predictiva del riesgo crediticio de las empresas alimenticias y una contribución a la discusión en espacios empresariales, académicos y científicos.

Suggested Citation

  • Katherine Coronel-Pangol & Gustavo Flores-Sánchez & Jorge Campoverde-Campoverde & Armando Romero-Galarza, 2021. "Aproximación predictiva al riesgo crediticio comercial en empresas alimenticias ecuatorianas," Estudios Gerenciales, Universidad Icesi, vol. 37(160), pages 413-424, August.
    • Handle: RePEc:col:000129:019526
    DOI: 10.18046/j.estger.2021.160.4022
    as

    Download full text from publisher

    File URL: https://doi.org/10.18046/j.estger.2021.160.4022
    Download Restriction: no
    File URL: https://libkey.io/10.18046/j.estger.2021.160.4022?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
    ---><---

    More about this item

    JEL classification:

    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    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:col:000129:019526. 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: Coordinador ICESI (email available below). General contact details of provider: https://edirc.repec.org/data/fciceco.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.