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Does neglecting the instruments of financial failure play a role in the bankruptcy of companies ?

dc.contributor.authorKhadri, Nadjib
dc.contributor.authorDouha, Selma
dc.contributor.authorBouali, Soufyane
dc.date.accessioned2024-01-09T07:17:07Z
dc.date.available2024-01-09T07:17:07Z
dc.date.issued2023-06-12
dc.description.abstractAbstract Corporate financial analysis tools are an important factor in corporate efficiency. Low- quality accessories for corporate financial analysis tools really brutally violate the inter- ests of shareholders and can lead to the collapse of the business. The paper examines the development of models for predicting financial crises and compares the capabili- ties of existing models that can help alert management to current activity regarding an economic decision to buy shares or make loans. In the example of the NCA RUIBA company, Kida and Sherrod models were considered for predicting the financial failure of a firm. Based on the results of the calculations, it can be noted that NCA RUIBA had a good financial position when calculating the indicators according to Kida’s model, and according to the calculated data of the Sherrod model, the organization relies on external financing through high-risk loans, which is associated with the growth of non-current liabilities, especially long-term and medium-term ones. The results suggest that although corporate financial analysis tools alone are not sufficient to ac- curately predict financial distress, they can increase the predictive power of financial indicators and macroeconomic factorsen_US
dc.identifier.urihttps://dspace.cu-barika.dz/handle/123456789/851
dc.language.isoenen_US
dc.publisherAccounting and Financial Controlen_US
dc.relation.ispartofseriesVolume;4
dc.relation.ispartofseriesIssue;1
dc.subjectKida & Sherrod modelen_US
dc.subjectfinancial distressen_US
dc.subjectfinancial failureen_US
dc.subjectpredicten_US
dc.titleDoes neglecting the instruments of financial failure play a role in the bankruptcy of companies ?en_US
dc.typeArticleen_US

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