Please use this identifier to cite or link to this item: http://dspace.univ-temouchent.edu.dz/handle/123456789/5190
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dc.contributor.authorمحمد, سعاد-
dc.contributor.authorتافنة, حنان-
dc.contributor.authorبوغازي, اسماعيل-
dc.date.accessioned2024-09-18T13:22:57Z-
dc.date.available2024-09-18T13:22:57Z-
dc.date.issued2021-
dc.identifier.urihttp://dspace.univ-temouchent.edu.dz/handle/123456789/5190-
dc.description.abstractThis study aims to identify the extent to which the Sherrod model contributes to predicting the likelihood of companies’ failure. This model has been applied to some Algerian companies listed on the Algerian Stock Exchange (Saidal, Alliance, and Biopharm) from 2015 to 2019 bydropping model variables on the financial statements of these companies. The results of the study concluded that the implementation of the Sherrod model to both Saidal and Biopharm showed difficulty in predicting financial failure as Z values fell in a critical area where it was difficult to judge the company's financial position.While the results of the model implementation to Alliance revealed that the company went through two phases; the first phase was from 2015 to 2018 as Z values fell into the third category where the risk of bankruptcy is difficult to predict, whereas the second phase was during 2019, when Z values were limited to 5 > Z ≥ -5 which is the fourth category containing companies at risk of bankruptcyen_US
dc.language.isootheren_US
dc.publisherUniversity of Ain Temouchenten_US
dc.subjectSherrod model, companies’ failure, failure prediction, bankruptcy risksen_US
dc.titleلتقييم المخاطر الائتمانية والتنبؤ بالفشل المالي SHERROD تبني نموذجen_US
dc.title.alternativeدراسة ميدانية لعينة من الشركات المدرجة في بورصة الجزائرen_US
dc.typeThesisen_US
Appears in Collections:Sciences de Gestion



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