The aim of the article is to study the prospects for sustainable financial growth of the gas industry in Russia and China until 2030. unlike traditional interpretations, the authors consider financial sustainability as a result of the interaction and mutual influence of energy, environmental, economic and social processes grouped into subsystems. The authors analyzed the statistical indicators of the sustainable financial growth system of the largest oil and gas companies in Russia and China from 1996 to 2016. A model for calculating the financial sustainable growth system in the Python programming language was developed. The Lasso regression analysis method and the SARIMA model were used. The sustainable financial growth system index of oil and gas companies was substantiated. By means of the system methodology, the authors identified problems and systematized the contradictions in the organization of the sustainable financial growth in the gas industry of the two countries. As part of the proposed methodological approach, the original SARIMA model was built. The model explains the internal structure of the financial growth sustainability of the oil and gas industry in Russia and China. The authors calculated the sustainable financial growth system forecast for Russia and China until 2030. The calculations showed that in the future the system of sustainable financial growth in China’s oil and gas industry may be disrupted. The authors offer ways to prevent the development of these negative trends. Namely: the promotion of social responsibility of state corporations, the development of green and social financing, the study of energy efficiency. In Russia, the stability of the financial growth of the oil and gas industry is characterized by stability over the entire forecast period.

The article considers investment in fixed assets of the manufacturing industry as one of the main factors of its development. The manufacturing industry is shown to be the growth driver of national economy for developed and developing countries. The analysis of exports and imports of the first 15 countries in the ranking in terms of gross domestic product calculated at purchasing power parity (GDP at PPP) shows the leading role of the manufacturing industry in the global economy. At the same time, competitiveness in the global market is determined by high-tech products. Therefore, for the sustainable development of the Russian economy, it is necessary to create investment conditions for the advanced development of high-tech segments of the manufacturing industry. However, the current structure of investments in fixed assets contributes to the development of such services sector segments as “Transportation and storage”, “Real estate operations”. In the structure of investments in fixed assets, the largest share belongs to investments in buildings and structures, and intellectual property items account for no more than 10%. It is shown that the lack of investment resources is the main reason for the reduction (by 1.5 times) of the contribution to the value added of the manufacturing industry in Russia, production of machinery and equipment. This leads to an increase in dependence on imports, a fall in the share of products from high-tech sectors. To analyze the development potential of manufacturing industries, the authors introduced an indicator of investment intensity per 100 rubles of shipped industrial products. It was determined that enterprises with a joint Russian and foreign form of ownership lead in terms of investment intensity. At the same time, private enterprises, leading in terms of output, demonstrate weak investment activity. The low investment attractiveness of high-tech manufacturing sectors is shown. The regional structure of the manufacturing industry was analyzed. There is a high level of regional concentration of the manufacturing industry in Russia. At the same time, the authors show its relatively weak significance in the structure of the gross regional product in the majority of the constituent entities of the Russian Federation. It has been proposed to develop a program at the federal level for the advanced development of production in the high-tech and medium-technology high-level sectors for 10–15 years. It is proposed to create a supradepartmental executive authority to manage this program.

The analysis of Basel III main provisions shows that within the macroprudential policy, increasing the financial stability of the banking sector is achieved by growing the capital of banks and creating new tools to solve short-term liquidity problems. The proposed measures seem well developed, except one fact — the quantitative values of the regulatory requirements for growing the bank capital are insufficient to achieve the macroprudential policy objectives. This study aims to develop analytical tools allowing to form quantitative objectives of the macroprudential policy and to deliver them by streamlining the capital requirements of banks. The methods of comparative and GAP analyses were used in the study. The empirical analysis was performed with the data on the Russian stock index IMOEX dynamics, the data from the reports by the Bank of Russia and financial reports of systemically important Russian banks. According to the study results, a quantitative strategic objective of the macroprudential policy in the Russian Federation was determined, a gradual increase in the capital adequacy ratio of Russian banks to 40% was proposed, a calendar plan was developed to achieve the strategic objective stagewise in 10 years, and banks are realistic in achieving this objective. As a regulatory instrument to grow the capital adequacy of banks according to the target level, it is proposed to use an additional regulatory capital requirement in the form of a reserve buffer of a dynamic and adaptive nature. The empirical analysis of the possibilities and consequences of a new regulatory instrument application proved the expediency of its introduction to improve the effectiveness of the macroprudential policy in the Russian Federation. 

The authors have considered current forms and methods of financial support for the regions in Russia. The dynamic analysis allowed to obtain a comprehensive assessment of the interbudgetary transfers provided by the federal budget for the socioeconomic development of the regions in recent years with a view to reducing their economic differentiation and ensuring the implementation of the state regional powers. The methods of economic and statistical analysis were used. The authors conclude that the main form of financial support for the regions of Russia is subsidies to equalize fiscal security. The study proved that the increasing financial assistance in the form of subsidies leads to a decrease of the budgetary support level of the regions. Financial support for the Russian regions in the form of subsidies and subventions has a number of serious shortcomings: the multi-channel financial assistance to the region and the lack of an integrated approach which leads to dispersal and low return on public funds and makes it difficult to control their spending; fragmentation of its provision; reduction of incentives for self-development; difficulty in assessing the amount of assistance needed; refinancing. The identified problems require further implementation of motivation mechanisms for the state authorities of the constituent entities of the Russian Federation to increase the tax revenues of the regional budget. The article outlines possible ways to form financial incentives for independent regional development. It is proposed to provide the regions with consolidated subsidies. The regions will be able to independently determine the directions for their spending. This will allow for a balanced transition from the state control over spending the subsidies to the control over the results of their allocation.

Over the past three decades, a large group of non-bank financial institutions has been formed in the world economy. These institutions fall outside the realm of traditional banking and take an active part in the lending processes of economic turnover entities. The activities of these institutions, called the shadow banking system (SBS), led to an increase in systemic risks and had a negative impact on the state of the global financial system. This was distinctly displayed during the global financial crisis of 2007–2009. The subject of this article is a series of measures taken by the international and national financial control bodies after the financial crisis to eliminate most risky aspects of shadow banking and to strengthen the system of financial oversight and monitoring. The final aim of the analysis is to evaluate effectiveness of the measures on strengthening control and limiting risks applied by the control bodies of the G-20 countries in the course of the reform to enterprises of the traditional and shadow sectors of the financial system. The results of the analysis show that the reform strengthened positions of traditional banks and improved their ability to resist financial shocks. As to the shadow banking sector, contrary to the statements of the initiators of the reform the regulative measures did not eliminate the systemic risks peculiar to nonbank financial institutions and did not stop their growing activities. This situation threatens the stability of the global financial system and a possibility of a new financial slump retains.

The article is devoted to the study of prospects for digital currency issue by central banks as a new form of central bank money and to the potential of their influence on monetary and credit system. The aim of the article is to interpret and classify central bank digital currencies, to identify key characteristics of digital currencies and possible models of their issue, as well as to define the main directions of influence of digital currencies on the monetary and credit and payment systems. The scientific novelty of the article is in the systematization and comparison of different ideas about the implementation of sovereign digital currencies considering the use of distributed registry technologies. The study analyzed the projects of central banks on the issue of digital currencies and identified their features. Possible directions of influence of central bank digital currencies on the monetary and credit policy of the Central Bank and the activities of credit institutions were determined. It revealed that central bank digital currencies can be considered as a new form of money of the Central Bank, which can be issued to be used both in retail and in wholesale payments. Digital currencies may differ in some characteristics. The key ones are: a way to integrate into the monetary and credit system; emission technology; currency storage method; mechanism of mutual settlements and anonymity level. The study showed that the main incentives for introducing digital currencies are the possibility to provide an alternative and universally accessible legal means of payment, as well as to provide faster, more transparent and cheaper in-country and cross-border payments. The influence of digital currencies on the monetary and credit system and the monetary and credit policy of the Central Bank will largely depend on the scenario of their system integration. If cash is simply replaced in circulation by digital currencies, the effect on the Central Bank monetary and credit system and policy will not be significant. However, if central bank digital currencies are issued as an addition to cash, or are in parallel circulation, they can strengthen the transmission mechanism of the monetary and credit policy and increase the centralization of assets on the Central Bank balance sheet, as well as reduce the funding provided by credit institutions.

The paper investigates possible investment portfolio optimization considering behavioral errors. The research rationale is due to the adaption of the investment recommendations for unqualified investors on the Russian stock market. In economic literature, the consequences of behavioral effects are not detailed enough when making a portfolio of Russian securities. The aim of the article is to make the most optimal portfolio based on the risk/reward ratio. The author made a hypothesis on applying various periods of profitability analysis to improve profitability indicators and increase the subjective probability of its achievement. To build a portfolio model, the behavioral portfolio theory and its optimization through linear programming were used. The study was based on modeling the investment portfolio of the most liquid stocks on the Russian stock market. Modified elements of the cumulative prospect theory with behavioral coefficients were used as indicators of profitability and probability. Based on the analysis results, the model of semi-annual portfolio analysis was proposed as a tool for portfolio optimization. The investor review of the portfolio semi-annual rate of profitability led to its best final index of effectiveness. In the medium-term assessment of portfolio profitability, the influence of behavioral factors decreases while maximizing returns with medium high risk. The research result is consistent with the basics of behavioral economics as the prospect theory regarding risk and loss aversion. Moreover, the factor of frequency of access to information and the degree of naive portfolio diversification with high profitability are promising areas for the development of research in behavioral finance. However, determining by the investor the objective probability to achieve the expected return level by using specific benchmarks is controversial.

The article examines the impact of the policy of the uSA quantitative easing and the euro area on the nominal EuR/ uSD exchange rate. After the economic crisis of 2008–2009, the policy of quantitative easing gained popularity among the world’s largest economies. The largest programs were implemented by the uS Federal Reserve (uS Federal Reserve System) and the European Central Bank (ECB). However, the impact of the actual purchase volume of securities on the EuR/uSD exchange rate within these policies has been little studied in modern literature. The author collected the data from 1999 to 2018 on the exchange rate, macroeconomic and market indicators, and calculated the monthly actual purchase volumes of securities under the asset purchase program of the united States and the euro area. The behavioral equilibrium exchange rate model was used. The linear model specification and the error correction model identified no significant impact of the ECB quantitative easing policy expressed in the actual purchase volume of securities. However, for some specifications, it has been proven that the increase in purchases of securities by the uS Federal Reserve leads to a weakening of the dollar against the euro. The cointegration test revealed a long-term dependence of the EuR/uSD exchange rate on the accumulated volumes of acquired assets. Thus, an increase in the purchase volume of securities led to a weakening of the dollar against the euro. The insignificant impact of the European Central Bank quantitative easing policy could have been caused by market expectations formed prior to the actual purchase of ECB securities in the market.