Derivatives have become common instruments for a wide range of users, including financial institutions, companies that manage assets, corporations, hedge funds. These instruments allow for speculative, arbitrage and hedging operations, which defines them as useful instruments to stimulate the growth of the efficiency of financial markets and the real economy. In this article based on 21 macroeconomic and financial indexes of the USA by test of Granger's relation of cause and effect have been investigated influences of the exchange market of derivatives on indicators of economic growth of the USA. In this article is used a large amount of statistical data of time series and variables of macroeconomic and financial indices. The results of a research have confirmed positive correlation and causality of indicators of economic growth from use of exchange derivatives in real economy. It is received for the studied period of 2000-2015 proofs that the exchange market of derivatives of the USA positively influences the economic. The results obtained during the study can be used to substantiate the necessary measures aimed on the development of the derivatives market in Ukraine.

The article examines the cases of 18 countries that have been consistently ranked by Esports Earnings over the past ten years to find the social and economic determinants that may determine a country’s success in the international e-sports arena. In the study, indicators of a country’s cybersports success consider the annual volume of prizes won by its e-sportsmen, the ranking place in the world rankings and the total number of e-sportsmen. The hypothesis about the possible influence of a number of macroeconomic indicators, as well as the characteristics of the overall level of social stability on the development of e-sports within the country, was put forward and verified. The scientific landscape of research on cybersports, published in Scopus (by prevailing research topics, the geography of research network leaders, and the evolution of scientific search), was structured using the VOSviewer toolkit. By means of canonical analysis, pairwise relationships in the chain “economic development – social development – e-sports development,” as well as determinants with strong intragroup and intergroup relationships, have been revealed; and these relationships were quantified in the aggregate by means of structural modeling. The results of the calculations showed that the economic stability of the country rather than social stability has a greater influence on its success in the international e-sports arena. The most relevant indicators of economic development, considering success in e-sports, are GDP, unemployment rate and direct foreign investments, social development – poverty rate, population migration and Gini coefficient.