O. Yu. Patlasov, O. G. Konyukova
opatlasov@mail.ru
Omsk Humanitarian Academy, Omsk, Russian Federation
Academy of Management of the MIA of Russia, Moscow, Russian Federation, Russian Federation
Financial University under the Government of the Russian Federation, Omsk, Russian Federation
Financial Indicators Modeling Technologies
Abstract: The article is devoted to the study of the main approaches to financial indicators modeling and the proposal of the author’s approach to determin the normative values of the main financial indicators.The relevance of the topic of normalization of financial indicators in the methods of analysis of financial and economic activities is of particular importance in regulated financial analysis. The object of the study wasthe companies producing machinery and equipment, primary metal manufacturing and the production of computers and electronic products. Subject of research: standards of financial indicators. The expediency of establishing the recommended values of normalized indicators in the context ofindustry, the scale of business, the stage of the life cycle of companies, and the territorial location is proved.Estimating the market value of a company is an important aspect in the situation of imposed sanctions, and therefore the study of factors that allow it to be reduced becomes an urgent topic for investigation. The analysis of the financial indicators dynamics for the period under study made it possible to obtain boundaries (standards) for organizations engaged in the production of machinery and equipment, primary metal manufacturing and the production of computers and electronic products. Diagrams allow to visually evaluate the areas of acceptable values of financial indicators.
Keywords: financial indicators, coefficient method, rationing of financial indicators, return on assets, return on goods sold, current liquidity ratio, own working capital ratio, autonomy ratio.
Paper submitted: January 9, 2023.
For citation: Patlasov O. Yu., Konyukova O. G. (2023) Financial Indicators Modeling Technologies. Russian Journal of Social Sciences and Humanities, vol. 17, no. 1, pp. 229–236. DOI: 10.57015/issn1998-5320.2023.17.1.24.
