The article is devoted to the problems of evaluating the companies growth. The authors study the theory and methodology of approaches to the concept of sustainable growth and variations of factorological dependencies that form the value of decision-making indicators to ensure the necessary growth depending on the companies financial results. The authors justify the choice of indicators and growth models based on criteria, the main of which is the rate of profit reinvestment as the basis of companies financial stability. The level of profit reinvestment primarily depends on the life cycle of companies, and the choice of the optimal growth rate, determined by the growth model, is the basis for sustainable development of companies. The universality of the models is confirmed by the possibility of their application regardless of the availability of companies shares, dividend payments and organization forms, which allowed the authors to reduce the restrictions on the sample. The models were tested on the example of the largest mining companies. The dynamics of average values of growth indicators reflected changes in general market trends, which confirms that the growth of large system-forming companies is the main factor in the growth of the state’s economy as a whole.
Objective: identification of the relationship between the news coverage of global diseases and the dynamics of the return on shares of the pharmaceutical sector for Russia and the United States.Material and methods. The empirical base of the study includes more than 700 thousand tweets on Ebola and COVID-19 in Russian and English, news of the RBC news agency. The sentiment of the text was assessed on the basis of five English and four Russian-language dictionaries, the influence of fundamental and textual variables on the profitability of pharmaceutical companies' shares was carried out using the ARMAX-GARCH econometric model.Results. It has been proven that the dynamics of the stock index of pharmaceutical companies is explained by fundamental (economic) and sentimental factors. News of any epidemics negatively affects the pharmaceutical sector in the US and Russia, that is, there are no industries that benefit from this situation. Pandemic news affects US pharmaceutical companies more than Russian companies. The effect of news influence depends on the level of spread of the disease. News influences not only at the moment of their publication, but also after: there is a "delayed effect". Ebola news affects the American pharmaceutical market for 2 weeks, and the dynamics of the increase in influence can be traced. News on the COVID pandemic amplifies its impact during 1 week for the Russian pharmaceutical market and for 2 weeks for the US pharmaceutical companies. As for news sources, the elastic network has identified more significant variables based on publications from RBC; therefore, Internet publications generate more publicity, shaping a more significant overall sentiment in the markets.Conclusion. The models developed in the framework of the study and the economic conclusions obtained have not only theoretical, but also practical significance, and can also be used for further research in this area. It is possible to give recommendations on the practical use of dictionaries to assess the sentiment of the text. In our study, the elastic network method chose the Loughran–McDonald dictionary for evaluating economic texts in English and the EcSentiThemeLex dictionary (designed in R and Python programming environments). Avenues for further investigation may include analysis of other sources of information about the pandemic.
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