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RAR RUS 8-22 Tamale Technical University, Tamale, Ghana Gayomey John Peter the Great St.Petersburg Polytechnic University, Russia Zaytsev Andrey Development of Instrumental Approaches to Forecasting the Volatility of the Return of Financial Assets Measurement and forecasting of volatility and income correlation are achieved by non-parametric methods using high-frequency price data. Due to accurate calculations of conditional volatility and correlation forecasting, it is possible to correctly identify financial derivatives and make risk decisions and relative asset allocation decisions. This article systematises the methods for modelling the volatility of financial asset returns, considers the theoretical foundations of the generalised autoregressive conditional heteroscedasticity model, and predicts and analyses the volatility of US stock indices and stocks using high-frequency volatility estimates (realised volatility indicators). The stock indices studied are the Dow Jones Industrial Average (DJI), Standard and Poor’s 500 (SP500), and the Nasdaq Composite Index (NASDAQCOMP). Stocks analysed include stocks in Microsoft, Bank of America, and Coca-Cola. The results of the study support conclusions regarding the effectiveness of volatility estimators within two Bank of America volatility forecasting models, the superiority of the HAR-RV model for trading options in a specific market, and the best model for Microsoft. Thus, systematic analysis of news information is useful for predicting the volatility of returns on financial assets, but its effectiveness depends on the individual company. Future studies should explore the usefulness of the systematic analysis of news information in predicting the volatility of returns on financial assets in other markets and for other asset classes. 10.48554/SDEE.2023.2.1 519.862.6 volatility high-frequency volatility estimates modelling and forecasting methods yield volatility financial assets stock indices US stocks information environment https://sustainable.spbstu.ru/article/2023.8.1/ Statya_1.pdf

RAR RUS 24-38 A-9693-2017 56087793300 0000-0002-1254-0464 Peter the Great St.Petersburg Polytechnic University, Saint-Petersburg, Russia Rodionov Dmitrii drodionov@spbstu.ru

Polytechnicheskaya 29

Nizhny Novgorod State University named after N.I. Lobachevsky, Nizhny Novgorod, Russian Federation Koshelev Egor University of Economics and Business, Vietnam National University, Hanoi, Vietnam Lo Thi Hong Van Model of Cross-Financing for Research and Development Costs in a Federal District 10.48554/SDEE.2023.2.2 332.142.2 innovative development region investment planning production planning financial planning research and development costs https://sustainable.spbstu.ru/article/2023.8.2/ Statya_2.pdf

RAR RUS 40-52 0009-0006-5731-474X ROSNANO, Moscow, Russia Ozhgikhin Ivan R-6983-2016 57204420947 0000-0002-9953-6619 Peter the Great St.Petersburg Polytechnic University, Saint-Petersburg, Russia Rudskaia rudskaya_ia@spbstu.ru

Polytechnicheskaya 29

0000-0003-2580-7110 Tashkent State University of Economics, Tashkent, Uzbekistan Abdulayeva Iroda Analysis of the Medical Equipment Market of the Russian Federation: Features and Prospects of Its Development One of the key directions in the development of modern healthcare is tightly concentrated around technological modernisation, the main task of which is to achieve a high quality of life for the population based on sustainable economic growth and the use of advanced technologies. With their help, the priority of national health care will no longer be the treatment of identified diseases but the prevention and maintenance of health. Limited access to advanced achievements in the field of medical equipment and a significant level of competition from foreign manufacturers with significantly greater financial strength have led to a low share of the domestic medical equipment market on a global scale. The lagging behind the world’s leading manufacturers in terms of the commercialisation of innovations is accompanied by a high cost of equipment for the production of medical devices, a high level of import dependence in components, the inability of manufacturers to provide services for the integrated equipment of medical institutions, and a shortage of qualified personnel capable of solving the problems of creating new products and organising modern production in the medical industry. This article analyses the medical equipment market of the Russian Federation and reveals specific features and principles. The essence of the factors that hinder and promote market growth is revealed, and the principles that need to be considered when forming the development vector are listed. The main factors that positively influence the market of innovative medical equipment are the growth of financial resources in healthcare, the expansion of state guarantees of medical care, an increase in the volume of high-tech care, and trends in medical science. However, certain institutional factors inhibit the development of the market, particularly those related to regulatory and legal regulation as well as the interaction of market participants. 10.48554/SDEE.2023.2.3 338.001.36 medical equipment medical equipment market factors of formation features of the equipment market conditions of increased uncertainty https://sustainable.spbstu.ru/article/2023.8.3/ Statya_3_ispr.pdf

RAR RUS 54-66 0000-0001-8746-0699 Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation Lagutenkov Alexey 0009-0003-1187-3704 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia Kranina Anna 0000-0002-1107-0894 Tashkent Financial Institute, Tashkent, Uzbekistan Ibragimov Boburshokhvvvv Methodological Justification for the Expediency of Initiating a Programme of Green Innovations in the Oil and Gas Sector A feature of the modern world is the constantly increasing flow of innovation, which has caused a chain reaction of technological, institutional and social changes in all spheres of activity. Increasingly noted examples of this are the ‘green’ trend, the ecologisation of innovation processes and enterprises following modern trends in sustainable development. In this study, the authors developed an original methodology to risk-assess (probability of success) green innovations based on a decision tree. The authors’ solution facilitates making an optimal decision on the expediency of launching projects to implement green innovations in the oil and gas sector, such as carrying out entire innovation programs, launching a pilot projects or suspending current programs, based on the expected income. In this paper, the methodological approach is tested using conditional data. The results obtained form the foundation for developing a framework for innovation activities at oil and gas complex enterprises, providing a new (green) view on solving the problems of oil and gas innovations and taking a systemic approach to the analysis of green innovations in the oil and gas sector in the Russian Federation. The findings can be used in strategic planning by oil and gas enterprises, in particular, when deciding on the expediency of initiating green innovation programmes. 10.48554/SDEE.2023.2.4 339.97 green economy oil and gas industry green innovations sustainable development https://sustainable.spbstu.ru/article/2023.8.4/ Statya_4.pdf

RAR RUS 67-78 Local Administration of the municipal formation municipal district Posadsky, Saint-Petersburg, Russia Sidorenko Yulia 0000-0001-6413-3695 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia Feofilova Tatiana 0000-0002-6959-0008 Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates; Uttaranchal University, Premnagar, Dehradun, Uttarakhand-248007, India Dixit Saurav Methods And Tools for Harmonisation of Industrial and Trade Policy in The Light Industry This study examines the current industrial and trade policy of St. Petersburg in the field of light industry and substantiates the importance and necessity of the development of this sphere of industry in view of its strategic orientation. This paper analyses the approaches mentioned in the literature to determine the methods and tools for harmonisation of industrial and trade policy and state regulation of the conducted policy. The author developed, proposed and systematised administrative and economic methods and tools of harmonisation of industrial and commercial policy using the example of the light industry in St. Petersburg. As an administrative method of harmonisation of industrial and trade policy, the following tools are proposed: regulatory, state programming, state subsidies and public investment. As part of the economic method of harmonisation of industrial and trade policy, the following tools are proposed: state support for investors (monetary policy, tax policy), provision of benefits and tax policy. These methods and tools are aimed at improving the balance and mutual orientation of the current industrial and trade policy of St. Petersburg in the light industry at the institutional level and the effectiveness of their implementation, the elimination of problems faced by business entities in their activities, and improving the socio-economic situation of the region. 10.48554/SDEE.2023.2.5 339.97 industrial policy trade policy harmonisation light industry administrative methods economic methods https://sustainable.spbstu.ru/article/2023.8.5/ Statya_5.pdf