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Comparative analysis of the BRIC countries stock markets using network approach
Ch. 12. P. 191–201.
The paper presents the analysis of the network model referred to as market graph of the BRIC countries stock markets. We construct the stock market graph as follows: each vertex represents a stock, and the vertices are adjacent if the price correlation coefficient between them over a certain period of time is greater than or equal to specified threshold. The market graphs are constructed for different time periods to understand the dynamics of their characteristics such as correlation distribution histogram, mean value and standard deviation, size and structure of the maximum cliques. Our results show that we can split the BRIC countries into two groups. Brazil, Russia and India constitute the first group, China constitutes the second group.
Lysenok N., Маркова Ю. Е., 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
ЦЫГАНКОВА Е. П., Koldanov P., В кн.: Математическое и компьютерное моделирование в экономике, страховании и управлении рисками: сборник статей. Выпуск 10. Материалы XIV Научно-практической конференции. Саратов, 20–22 ноября 2025 г.Вып. 10.: Саратов: Саратовский университет, 2025.
The task of analyzing the dynamics of the market graph is to determine whether the observed changes in the market graph are systematic or if such changes can be explained by random fluctuations in correlation estimates on the market. The work proposes a test for detecting market graph dynamics and a procedure for constructing a ...
Added: July 20, 2026
Smirnov A., Демографическое обозрение 2025 Т. 12 № 2 С. 35–68
The article summarizes the application of the network approach to the analysis of migration flows in Russia from the late Soviet period to 2023. Eleven datasets on international, interregional and intermunicipal migration flows were compiled. The data sources include the 1989, 2002, 2010, 2020 (2021) population censuses, vital statistics for 2015-2023 and the “digital traces” ...
Added: March 18, 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
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
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
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