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Прогнозирование цен на золото с использованием алгоритмов нейросетей
Финансы, деньги, инвестиции. 2023. № 4. С. 9–15.
The price of gold is the most important economic indicator. Expectations of rising inflation and higher key rates from central banks are driving investor interest in gold around the world. Given the increasing number of factors influencing the dynamics of the gold rate in the world, forecasting gold prices requires new methods and modern technological solutions. The article provides an overview of gold price forecasting methods using neural network algorithms. The possibilities of investing in gold are considered: purchasing gold bars, opening impersonal metal accounts, buying investment gold coins, gold certificates, investing in shares of gold mining companies, mutual investment funds for gold, and other exchange instruments.
Карпова Д. А., Sizova I., Gordin V. E., Креативные индустрии 2026 Т. 2 № 2 С. 10–31
This article examines the musealisation of industrial heritage and its role in regional and corporate branding. The relevance of this study stems from deindustrialisation processes, the growth of industrial tourism, and the need to preserve historical memory, which is particularly important in the context of Russian realities—the lack of a legal definition of the concept ...
Added: September 9, 2026
Veselova L. S., Морозова В. С., Дарчиева А. А., Управленец 2026 Vol. 17 No. 4 P. 66–78
На фоне развивающихся торгово-экономических отношений между Россией и Китаем российские десерт- ные бренды получают новые возможности для выхода на китайский рынок. Однако их присутствие ограничено преи- мущественно приграничными регионами, а продвижение сдерживается недостаточной адаптацией к социокультурным особенностям китайских потребителей. Статья посвящена разработке практических рекомендаций по формированию стратегии адаптации российских десертных брендов к специфике китайского рынка. ...
Added: September 9, 2026
Kilinc-Ata N., Warong M. M., SN Business & Economics 2026 Vol. 6 Article 326(2026)
Green transitions are widely expected to attract cleaner capital and accelerate decarbonization; however, emerging-economy evidence increasingly challenges this assumption. This study examines the dynamic relationship between energy transition indicators and capital inflows in BRICS+ economies over the period 1996–2022, explicitly testing the “Green Haven” hypothesis under conditions of global uncertainty. Unlike much of the existing ...
Added: September 9, 2026
Warong M. M., International Journal of Diplomacy and Economy 2026
This study conducted in Indonesia between 2000 and 2023, demonstrates a complex, non-linear interplay between the economic environment and the emergence of clean energy start-ups. Using Autoregressive Distributed Lag and Markov Switching models, the research shows that start-up formation coincides with periods of lower GDP growth, suggesting that innovation is often spurred by necessity. Two ...
Added: September 9, 2026
Кореневский В. В., Экономика и математические методы 2026 Т. 25 № 3 С. 853–878
The US presidential election is a lengthy and complex process, during which candidates present their views and programs for reforming the country's politics and economy, while mass media broadcast these positions to a wide audience. In the most recent election, the topic of cryptocurrencies was used in the campaign for the electorate for the first ...
Added: September 8, 2026
Veselova A., Dikova D., Aray Y., Asia Pacific Journal of Management 2026
We examine board of directors’ gender diversity and corporate social responsibility (CSR) disclosure of Russian firms, and test for their effects on the market valuation of these firms. The Russian context is unique because gender disparity of boards and top management remains high in Russia due to historical legacy, absence of specific diversity-promoting regulations and ...
Added: September 8, 2026
Вохминцев И. В., Вестник международных организаций: образование, наука, новая экономика 2026 Т. 21 № 2
The EAEU and the CSTO are Russia’s principal regional international organisations. Understanding, assessing, and analysing the foreign-policy positions of the countries that belong to them is a matter of the state’s national interests. This determines the purpose of the study: to identify the level and the form of cohesion in the voting of EAEU and ...
Added: September 7, 2026
Mozias P., Социальные и гуманитарные науки. Отечественная и зарубежная литература. Серия 9: Востоковедение и африканистика 2026 № 2 С. 173–208
Abstract. Over the years of market reforms, China has moved from an autarkic economy to the position of the world’s largest trading power, becoming a global leader both in export volume and in total foreign trade turnover. For a long time, China’s export success was commonly explained by her use of comparative advantages in labor-intensive ...
Added: September 7, 2026
Alshanskaia E., Portnova G., Liaukovich K. et al., Frontiers in Neuroscience 2024 Vol. 18
Added: September 7, 2026
Starodubov K., Гвасалия Г. В., Карасев П. И., Нано-био-технологии. Тепло- и электроэнергетика. Математическое моделирование: сборник статей III международной научно-практической конференции (Липецкий государственный технический университет, Липецк, Россия) 2025 С. 219–223
This paper discusses the concept of neural networks, convolutional neural networks, their architecture and their operation principle. The main attention is paid to testing the reliability of storing images of people as embeddings, which are considered to be unrecoverable in the original image. In the course of the research an experiment is carried out: the ...
Added: September 6, 2026
Kolesnik N. A., Общество и экономика 2026 № 1-2 С. 114–134
Стремительно растущее население планеты и рост объемов индивидуального потребления при низкой включенности населения в экологические практики признается ключевым
препятствием на пути к экономике замкнутого цикла. В статье анализируется использование
огромного рекламно-коммуникационного потенциала крупных торговых сетей для вовлечения
населения в экономику замкнутого цикла через повышение экологической сознательности и популяризацию ответственного потребления. Эмпирической основой исследования стала база данных коммуникации шести ...
Added: September 6, 2026
Неверов В. Д., Красавин А. В., Vagov A. et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 P. 1–6
We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...
Added: September 5, 2026
Boltachev M., Ymer 2026 Vol. 25 No. 8 P. 130–161
The field of business model adaptation (BMA) remains conceptually fragmented: definitions, antecedents, and typological patterns are scattered across isolated empirical studies, precluding cumulative theory-building. This systematic review aims to synthesise the existing literature on BMA by mapping how the construct is defined, what drives it, and what typological patterns can be identified. Following the SPAR-4-SLR ...
Added: September 4, 2026
Churakova I., Кумар В., Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control 2026 No. 54 (3) P. 428–454
Purpose
This study examines the impact of Predictive Intelligence (PI) and Real-Time Data Insights (RDI) on Corporate Financial Sustainability (CFS), while controlling for organizational factors, industry factors, and AI-related risk factors. The research aims to determine whether these analytic capabilities (PI and RDI) individually and jointly contribute to long-term financial resilience and performance in modern organizations.
Theoretical ...
Added: September 4, 2026
Elyashevich I., Вестник Московского университета. Серия 6: Экономика 2026 Т. 61 № 3 С. 363–384
The study examined the properties of the normal distribution of the values of shipments of stocks of various categories from warehouses of large industrial companies. As a result, it was revealed that the use of the classical normal distribution, in some cases, may give incorrect results, since the values of stock shipments are positive values, ...
Added: September 3, 2026
Методы оценки структурных изменений в векторных и матричных агрегатах макроэкономических показателей
Lesnykh M., Motorin V., Тенденции экономического развития в XXI веке: Материалы VIІІ Международной научно-практической конференции, Республик Беларусь 2026 P. 233–236
The paper deals with comparative analysis of various methods for measuring and studying dynamics of structural macroeconomic indicators that reflect the peculiarities in a movement of multi-component macroeconomic systems. The metric, trigonometric and angular measures of structural changes are considered within vector formalism. Intertemporal orthogonal decomposition of a vector aggregate into the sum of quantity ...
Added: September 3, 2026
Zaruckiy M., Motorin V., Тенденции экономического развития в XXI веке: Материалы VIІІ Международной научно-практической конференции 2026 P. 237–240
The paper is devoted to developing the complex of input–output models for evaluating a potential receptivity of an economy to import substitution in final use and intermediate consumption ...
Added: September 3, 2026
Savinova E., Hoek J., Digital Journalism 2025 Vol. 13 No. 7 P. 1291–1310
Added: September 3, 2026
Koshcheev D., Isopeskul O., М.: Инфра-М, 2027.
государственным служащим.
The monograph presents the results of a comprehensive analysis of the evolution of research related to the assessment of the tourist potential of administrative-territorial units (ATUs) from 1882 to 2024. For the first time, scientific schools are identified, and the author's approach to predictive values and a methodology for the quantitative assessment of the ...
Added: September 3, 2026
М.: МАКС Пресс, 2026.
The book consists of materials submitted by Russian and Foreign scientists to the Organizing
Committee of the All-Russian Round Table “Logic and Paradoxes of Modern Education Manage
ment”. The round table was held at the Faculty of Sociology of Lomonosov Moscow State University
on June 08, 2026. The texts are published in author's edition. Organizing Committee`s point of ...
Added: September 2, 2026
Kazun A., Девятников В. Ю., Белов М. Д., Вопросы теоретической экономики 2026 Т. 3 № 32 С. 115–135
Как понять, хорош адвокат или нет? В данной статье мы описываем методологию, позволяющую измерять качество юридической помощи через разницу между тем, что предсказывает модель машинного обучения по объективным характеристикам дела, и тем, чем дело закончилось в реальности. Мы исходим из предпосылки, что если у адвоката дела стабильно заканчиваются лучше ожидаемого, то он делает свою работу хорошо. ...
Added: August 28, 2026
Tasenko O., Untila K., Shishkovskaya T. et al., В кн.: Десятая международная конференция по когнитивной науке: Тезисы докладов. Пятигорск, 26–30 июня 2024 г.: Пятигорск: ОПиИД УНР ФГБОУ ВО «ПГУ», 2024. С. 328–329.
Шизофрения – это хроническое психическое расстройство, которое выражается как комбинация психотических симптомов, таких как галлюцинации, бред и дезорганизация когнитивных функций. Для шизофрении характерны трудности с поиском слов, приближение слов, то есть
использование сходных по значению с нужным или же описывающих предполагаемое значение, а также использование негативной лексики чаще, чем в группе нормы, в том числе при
описании ...
Added: August 24, 2026
Nikita I. Lysenok, International Journal of Computer Information Systems and Industrial Management Applications 2026 Vol. 18 No. 18s P. 1406–1430
A volatility forecast becomes useful only after it has passed through four stages: a model produces it, a trading rule consumes it, a portfolio aggregates the result, and an investor evaluates that result against a utility function. Each stage has its own mature evaluation apparatus, and each is studied in isolation. This review traces the ...
Added: August 23, 2026
Nikita I. Lysenok, International Journal of Computer Information Systems and Industrial Management Applications 2026 Vol. 18 No. 17s P. 533–549
This paper asks which families of volatility forecasting models create economic value in active trading, and through which integration channel that value is transmitted. Seven models drawn from four families — econometric (GJR-GARCH, HAR-J), gradient boosting (XGBoost, LightGBM), recurrent neural networks (LSTM, GRU) and a hybrid combining HAR-J with boosting — are compared on the ...
Added: August 18, 2026