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April 21, 2020Revista Amazonia Investiga11 citationsOpen Access

Assessing the functionality of models for predicting pharmaceutical companies

DZDanil A. ZyukinAGA. A. GolovinOPOlga Viktorovna Pshenichnikova

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Abstract

The article considers the problem of the functionality of existing bankruptcy forecasting models for the pharmaceutical industry, the significance of which is due to the strategic role of this industry in ensuring drug safety in Russia. In conditions of import dependence, it is possible to increase the competitiveness of domestic enterprises by investing in it, which actualizes the task of increasing their investment attractiveness, one of the main elements of which is long-term and predictable financial stability. The study shows that today the assessment of financial stability and the likelihood of bankruptcy is possible only on the basis of generalized models of domestic and foreign authors, which in general give ineffective results. This is due to the fact that standard models do not take into account the industry specifics of the enterprises in question, and therefore are not able to reliably determine the presence or absence of a threat of insolvency. An important direction in the development of the pharmaceutical industry of the Russian Federation in the current environment is the search for effective tools for economic analysis and the development of the correct adapted methodology for predicting the probability of bankruptcy.

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Cite This Study

Zyukin et al. (2020) studied this question.

synapsesocial.com/papers/6a12021853eb82a3c9b4c52bhttps://doi.org/10.34069/ai/2020.28.04.30
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