The authors of the article determined that a number of scientists were involved in the development of a balanced system of indicators of the development of the oil and gas sector. Though an urgent scientific problem that needs further consideration is the development of a model of resource efficiency diagnostics in the oil and gas sector of the economy of Ukraine, taking into account the peculiarities of statistical monitoring. In order to solve this problem, the authors used methods of economic analysis, the method of rationing to bring the indicators to a comparative meaning, the method of additivemultiplicative compression, statistical methods of estimating variation and so on. The scientific novelty of the paper is: this study improved the model of diagnostics of resource efficiency in oil and gas sector in the economy of Ukraine based on the additive-multiplicative compression of the formed system, which, unlike the existing ones, takes into account their variation while defining weighting coefficients which show the experts' system of preferences.

In the period of Ukraine’s integration into the European economic space, one of the basic conditions for achieving compliance with the European community requirements is the formation of favorable investment environment. In view of this, the aim of the article is to analyze the economic preconditions for the unification and adaptation of the investment mechanism in the period of Ukraine’s integration into the economic euro area, and to develop recommendations for unification of institutional support for the formation of the investment environment in Ukraine. In the course of the study, the system approach and the method of system analysis and synthesis are the basis. Based on the analysis of the activities in Poland, it is outlined that the conditions for their achievement of high rating indicators are the legally regulated mechanism for promoting investment, which includes relevant institutions, low tax rates, transparency and ease of doing business. The comparison made on this basis has made it possible to determine key differences and problems between approaches of European countries and Ukraine, namely: the lack of correspondence between the actual measures legally declared, the monetary unit instability, the unpredictability of the political and economic situation, the complexity of doing business. Approaches to unification of institutional support for the formation of the investment environment in Ukraine and measures aimed at increasing the efficiency and competitiveness of investment activity are proposed.

The analysis of business models of banks is a new approach to determining the financial condition and financial soundness of an individual bank and the entire banking system. The definition and analysis of banks' business models allow understanding better financial and economic activities, risk appetite, and management system. The National Bank of Ukraine moves to SREP based banking supervision. Such an analysis involves the verification of banks' business models for their viability and sustainability. No regulatory act provides a precise definition of these concepts. It is still no single approach to the analysis of business models among scientists and researchers. At the same time, traditional methods that focused on the analysis of the bank's capital adequacy, its liquidity, and compliance with mandatory NBU economic norms are not sufficient. The study shows that most researchers use cluster analysis methods with a variety of sets of variables, the number of cluster groups, and business models. To determine the business models of Ukrainian banks, to analyze them, and to form on this basis the risk profile of each bank, the authors proposed an innovative methodology of structural-functional groups of banks (SFGB-method). The method is based on the use of neural networks, in particular self-organizing Kohonen maps (SOM). For cluster analysis, it is suggested to use the system of financial indicators calculated by the National Bank of Ukraine in the SREP system. The cluster analysis allows identifying ten business models of Ukrainian banks. The article describes the features of each cluster and its propensity to take risks. The distribution of banks by cluster and their place on the map depends mostly on the structure of its assets, liabilities, income, and expenses, currency position, as well as other qualitative and quantitative indicators. The conducted research has confirmed that the definition of business models of banks allows forming the basis for introducing a differentiated approach to banking regulation and supervision, taking into account the essential characteristics of each bank, its risk profile, and the main distinguishing features. Keywords: bank business model, innovative approaches, bank risk profile, structural-functional group, bank.

The stronger the level of economic integration between countries, the greater the need to study the formation patterns of the stock market reaction to the financial information signals. This concerns the Ukrainian stock market, which is now in its infancy, and which reaction to financial information signals is sometimes ambiguous. The research aims to identify the formation patterns of return and volatility indicators of the Ukrainian stock market reaction to the US financial information signals. To assess the direct nature of US financial information signals effect on the PFTS stock index, the GARCH econometric modeling toolkit was applied. The research information base is the PFTS stock index and the Federal Reserve System financial information signals at the discount rate for 2000–2019. The fetch is divided into intervals corresponded to the ascent and decline phases of the financial cycle. It was found that an unforeseen increase in the discount rate at the financial cycle decline phase by 25 basis points decreases the PFTS stock index return, on average by 2.9%. Besides, the hypothesis about the general change stabilizing effect in the discount rate on the Ukrainian stock market volatility at the financial cycle growth phase was confirmed. Nevertheless, for investors, the most essential is the regulator’s monetary signals in the discount rate at the financial cycle decline phases rather than at the ascent phases because there is a more significant increase in the volatility level.

Despite the wide range of scientific research on the subject and their actuality, there is no generally accepted concept of competitiveness today. In summarizing and generalizing different viewpoints, competitiveness will be understood as many sustainable advantages of a research object compared to its external environment. The scientific novelty of this work is the development of a model of the sectoral index of competitiveness by environmental component, which allows to carry out a comparative analysis of types of economic activity and to develop programs for the development of sectors taking into account anthropogenic impact.