Tetiana Bludova

The use of display advertising enables companies to reach target audience and show them your ads on specific sites, which increases sales. In particular, YouTube video ads can reach a wide audience and attract many customers. One of the most important issues in the development of display advertising is the analysis and modeling of advertising reviews from media advertisements and practical tools with the aim of taking
synergistic effects of advertising reviews. The purpose of the paper is to research the synergistic effects of advertising reviews in the system of successive advertising display. The study used a statistical analysis of empirical data, in particular statistics of annotations of video clips demonstration; viewing a video clip, and also approaching ad rotation time series using the Fourier series. The synergistic effects of advertising reviews in the system of successive advertising display are revealed. The approximation of time series of advertising reviews in the synergistic system of successive advertising display is presented. The analytical periodic function of advertising reviews, which takes into account manifestation of the short-term current effect of video advertising messages, is developed. The functions of advertising reviews in the Fourier series are presented, which allows to simulate video advertising messages as a reaction in the form of revision annotations in media advertising.

The global financial market is undergoing transformational changes under the growing influence of innovative factors. Such changes are due, in particular, to the concentration and scaling up and diversification of the structure of financial services, the renewal of the financial sector on the basis of FinTech operations and blockchain technologies. This requires taking into account the impact of innovation factors on the transformation of the financial market in the dimension of FinTech. The study aims to identify the imperatives of global financial innovation and show ways to develop innovative models in the interpretation of S-curves for next-generation products using new technologies when key technologies on the previous S-curve become obsolete. Also, the matrix of financial innovations is presented and the synergy of its innovation models is proved.
The results of the study are to prove that each of the presented models is not independent, it evolves and develops itself, as well as affects other models. This made it possible to identify prognostic pathways for the development of innovative models in their synergy in the form of two-ring motion. Thus, the study emphasizes the need for further research aimed at developing innovative models that will determine strategic decisions in the formation of innovation imperatives.