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Никифорова В., Волкова Е., Makarova V. A. Самара: Питер, 2008.
Lysenok N., Финансовый журнал 2026 Т. 18 № 4 С. 45–63
The article discusses the application of clustering methods to form an optimal investment portfolio
that allows the investor to achieve an effective risk-reward ratio. Three popular clustering methods,
K-Means, MeanShift, and DBSCAN, are examined. The article focuses on the DBSCAN clustering method
and highlights its advantages over other clustering methods in the context of financial data analysis.
DBSCAN is ...
Added: August 27, 2026
Vagin S., Муниципалитет: экономика и управление 2026 № 2 С. 28–42
Introduction. This study summarizes theoretical material characterizing the role of exchanges in regional capital formation, identifies key problems, and proposes development directions. Stock exchanges act as arteries through which capital continuously circulates between various economic sectors and countries, creating an environment for the efficient allocation of financial resources.
In this article, we examined the structure of ...
Added: July 29, 2026
Kondratev S., Баталова Е. В., Фролова О. О., Journal of Corporate Finance Research 2024 Vol. 18 No. 3 P. 62–81
This paper investigates stock underpricing in the Russian capital market during initial public offerings in the present-day situation. The econometric study of initial public offerings in the Russian market for 2006–2024 shows that such factors as dividend policy, technological profile of the company, and the difference between the actual and expected offering price in crease ...
Added: April 26, 2026
Fayzulin M., Teplova T., Kurkin A., Прикладная эконометрика 2025 Т. 79 С. 99–121
The paper analyses the dynamic connectedness between trading volumes in the Russian stock market and the global cryptocurrency (Bitcoin) market during periods of external shocks (the COVID‑19 crisis and the Russia‑Ukraine conflict) from 2019. Using the TVP‑VAR model and estimates of system variable connectivity, liquidity spillovers (cash flows) are identified between the considered asset classes. For the first time, we analyse the network connectedness of investor sentiment for the most popular Russian stocks and Bitcoin and estimate the role of sentiment in liquidity spillovers. The results demonstrate that Bitcoin’s daily trading volume predominantly acts as a recipient of shocks from the Russian stock market. Meanwhile, the overall coherence in the system was higher during the COVID‑19 crisis period compared to the Special Military Operation (SMO). The study confirms the existence of a correlation between investor sentiment on the Russian stock and cryptocurrency markets. At the beginning of the analyzed period,in 2019, when interest in crypto assets investing began to grow rapidly, this correlation was strongly pronounced.
There is a connectedness between two sentiment indices: on the stock market and crypto‑assets. The intensity of the correlation prevails in the COVID‑19 inception period, significantly exceeding the level observed in the SMO period. This sentiment metrics behaviour may imply adaptation of the Russian stock market to external shocks, as well as retail investors’ expectations of short‑term SMO in early 2022. ...
Added: February 6, 2026
Sizykh N., Кудрявцева Н. С., Управление большими системами: сборник трудов 2025 № 118 С. 250–285
Numerous studies in the field of forecasting securities prices, particularly stock prices, are aimed at finding more accurate and effective models. However, attention to multivariate forecasting, which allows for more accurate forecasts, remains underappreciated, as its implementation requires a significant increase in computing resources. Therefore, the selection of more simplified yet effective models is relevant. ...
Added: February 3, 2026
Morychev G., Sizykh D., Sizykh N., IEEE Access 2025 Vol. 13 P. 213194–213210
One of the main tools for analyzing large volumes of financial data is the use of clustering methods and models, which allow the identification of various patterns. This study examines the problem of clustering time series that reflect the behavior of prices, yields, modes, trends, and a number of related stock indicators. The relevance and ...
Added: February 3, 2026
Бауэр Р. Э., Журнал предпринимательского и корпоративного права 2024 № 3(35) С. 37–40
The article examines the legal nature of the investment advisory agreement as a defined contract in the legislation on the securities market. The author concludes that an investment advisory agreement can be considered a type of paid service contract with a guaranteed achievement of a certain material (tangible) result. ...
Added: January 29, 2026
Soldatova A., Сберегательное дело за рубежом 2025 № 1 С. 21–33
The article is devoted to the peculiarities of the functioning of the Chinese stock market, its development prospects and opportunities for investors. Key aspects of regulation, classification of shares, stock exchanges and specifics of market participants are considered. Various types of shares, features of each class and access rules for foreign investors are described. The ...
Added: January 21, 2026
Хоминич И. П., Фрумина С. В., КноРус, 2025.
Pension funds play a key role in ensuring the financial stability of retirees. In Russia, the pension system consists of two main components: state pension payments provided by the Social Fund of Russia (formerly the Pension Fund of Russia) and additional voluntary savings programs implemented by non-state pension funds (NPFs). The Social Fund of Russia ...
Added: January 20, 2026
Lysenok N., Фундаментальная и прикладная математика 2025 Т. 25 № 4 С. 90–107
The aim of the study is to assess to what extent modern machine learning methods can improve the accuracy of forecasting the volatility of Russian stocks and whether such improvements lead to real advantages when applied in investment strategies. The work combines a review of theoretical approaches to volatility analysis with empirical research based on ...
Added: January 16, 2026
Войко Д. В., Voyko A. V., Афанасьева Е. Ю., Финансовый менеджмент 2025 № 8 С. 321–330
The purpose of this article is a comprehensive analysis of the applicability of Sustainable Growth Ratio models for predicting the effectiveness of IPO (IPO – Initial Public Offer) of Russian companies in modern conditions. Companies of various types of activity were selected as the object of research: medicine, pharmacology, IT business, transport services, wood processing ...
Added: December 9, 2025
Галанов В. А., Galanova A., Вестник Российского экономического университета им. Г.В. Плеханова 2025 Т. 22 № 2(140) С. 153–159
The article advances an alternative approach to studying correlation between time and risk in investing into
securities portfolio. This risk is usually identified with risks of short-term trading on stock market. However, in case
securities portfolio is kept for rather a long period of time, then portfolio risk changes in quality, as it becomes
relatively independent from time ...
Added: November 10, 2025
Kosov M., Вестник экономической безопасности 2023 № 6 С. 213–221
The basis of the international financial market is foreign exchange flows arising from the functioning of the world economy. The main task of financial flows is to exchange the results of the activities of world economies. Therefore, the essence of the international financial market is to support the movement of foreign currency flows between financial ...
Added: October 22, 2025
Свиридов О. И., Вопросы статистики 2025 Т. 32 № 4 С. 37–48
The article is devoted to analyzing the stability of the causal relationship between changes in oil prices and the dynamics of the Russian
stock market, whose primary indicator is the RTS Index. The main goal of the research is to test the hypothesis of the persistence of a stable
influence of oil price shocks (driven by fluctuations ...
Added: September 15, 2025
Galanova A., Федоренко А. В., Наука и практика. Научно-аналитический журнал РЭУ им. Г.В. Плеханова 2025 Т. 17 № 1 (57) С. 35–53
Central bank decisions to lower refinancing rates all over the world are usually the result of slowing inflation and improved economic welfare. However, this raises a question of how this affects the main "credit" participants in the financial system - banks and their stock prices. A decline in the market interest rate is a well-known ...
Added: May 28, 2025
Iudin I., Социологические исследования 2025 № 4 С. 140–146
The notion of market devices when applied to digital investment technologies suggests that they not only construct the stock market, but influence individuals’ behaviors as well. Current article aims to outline the types the types of Russian retail investors (lay participants of the stock market) based on the digital technologies and tools they use, as ...
Added: May 12, 2025
Khaziev G., Sokolova T., Экономика и математические методы 2025 Т. 61 № 1 С. 95–108
The study explores the sentiment of Russian private investors in social networks and its impact on the dynamics of the stock return of 78 companies on the Russian stock market (MOEX) in the period from 2018 to 2022. To take into account sentiment when forecasting returns, the authors RSMI index (Russian social media index) is ...
Added: April 5, 2025
Berzon N. I., Rechmedina S., Lysenok N., Финансы и бизнес 2024 Т. 20 № 4 С. 42–56
The article shows the development of asset pricing models in the stock market from the hypothesis of a random walk in 1900 to the possibility of explaining more than 90% of returns using a factorial approach nowadays. Based on a better definition of risks, researchers are better able to predict prices and form portfolios with ...
Added: March 10, 2025
Khaziev G., Финансы и бизнес 2024 Т. 20 № 4 С. 57–78
This paper examines the the eff ectiveness of artifi cial intelligence models to detect manipulation of Russian stocks based on the authors’ sample of 866 manipulation cases over the period from 2012 to 2024. We build four artifi cial intelligence classifi cation models to fi nd the most eff ective method for manipulation detection: Logistic ...
Added: February 8, 2025
Sizykh D., Tregub K., Belyakov B. et al., , in: 2024 17th International Conference on Management of Large-Scale System Development (MLSD).: IEEE, 2024. P. 1–5.
Currently, a large number of studies are being conducted to improve the accuracy of the developed forecasting methods for the stock market. At the same time, multivariate models based on machine learning methods are increasingly used. Since liquidity indicators have a significant impact on asset pricing, taking them into account can improve the accuracy of ...
Added: January 15, 2025