Abstract
The manufacturing industry is an important component of the overall state of the economy of the Russian Federation. This industry is actively developing and producing products, the range of which is estimated at tens of millions of types of products and names of goods. Globally, the output of processing organizations is 16 % of the gross product, in the Russian Federation such output is 25,5% of the production of gross domestic product, and in the Ryazan region 26,7 % of gross regional product. Despite the positive dynamics of most financial and economic indicators of manufacturing enterprises there are risks associated with financial losses, as evidenced by the latent threats of non-return of credit resources, the risk of negative dynamics of cash flows from production due to inefficient use of fixed assets. Such dynamics have spread both on the territory of the Russian Federation and on the territory of the Ryazan region. In this regard, in order to reduce the amount of their own financial losses to manufacturing enterprises, the development of analytical tools for diagnosing financial risks is a priority task to avoid possible negative consequences in general. In the scientific literature a significant number of publications are devoted to assessing the state and development of the processing industry in Russia, both as a whole and in individual regions of the Russian Federation. However, not enough attention is paid to the diagnosis of financial risks in the author's works. In this regard, the purpose of the article is modeling analytical tools for diagnosing financial risks based on their own definition of the category of financial risk, formulated based on the results of a monographic study, identified financial industry threats and traditional classical analytical and evaluative capital measures.
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