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Crisis Forecasting in Ask and Bid Prices Formation Systems in Case of Precious Metals
Ch. 1. P. 11–18.
We proposed the nonlinear dynamic model of the formation of the market prices of precious metals based on the econophysic considerations. This model is a system of three ordinary differential equations relating the time dependence of elasticity, variations of bid and ask prices; it is similar to the Lorenz system. The areas of the dynamic stochasticity in experimental data were found with the comparing of the experimental and the theoretical ask and bid prices. These areas are the precursors of the crisis mode in the form of dynamic chaos.
In book
Sarasota: University of South Florida Sarasota-Manatee, 2014.
Киреева А. А., Добринская О. А., Chizhevskaya M. et al., Японские исследования 2026 № 2 С. 157–181
The Middle East (ME) region is vitally important to Japan, as it accounts for
90% of Japan's oil imports. For many years, Japan has sought to build friendly relations
with all countries in the region, often having to balance its own interests with its strategic
alignment with the United States, its only military and political ally. The seminar ...
Added: August 19, 2026
М.: ООО «Городу и миру», 2026.
Как преодолеть нарастающий мировой беспорядок. ...
Added: July 1, 2026
Karacharovskiy V., Ларина У. С., Резмерица А. А., Социологические исследования 2026 № 7 С. 60–75
Based on the neural network approach, the decomposition of the index of social mood in Russia for the period 2004-2024 was carried out and their dynamics for this period was modeled. The following issues are discussed: (a) the nature of the social mood' shocks in Russia, based on their connection with the concepts of politics ...
Added: May 14, 2026
Leontiev D., Rasskazova E., Taranenko O., Консультативная психология и психотерапия 2025 Т. 33 № 2 С. 171–190
Context and relevance. The work is aimed at adapting the “Meaning-Centered Coping” (MCC) scale (Eisenbeck et al., 2022). Methods and materials. The adaptation was carried out on the basis of several samples. The first one was collected in 2020 during the COVID-19 pandemic as a part of the large scale international study, in which the ...
Added: February 12, 2026
Kopnova E., Журавлева К. А., Коряков И. В. et al., Журнал Белорусского государственного университета. Экономика 2025 № 1 С. 36–46
he article examines the prospects for economic cooperation between Russia and Belarus within the framework of the EAEU, SCO and BRICS integration associations, with an emphasis on the impact of sanctions and their consequences for the economic growth of the countries. The study includes the use of econometric modeling methods to evaluate the forecast of ...
Added: December 11, 2025
Kychkin A., Chernitsin I., Vikentyeva O., , in: 2025 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).: IEEE, 2025. P. 987–991.
Industry 4.0 concept focuses on sustainability problem that requires to control air emissions, especially for harmful substances like H2S, and reduction their impact on nature by using environmental monitoring and sources identification systems. This task requires solving inverse problem of dispersion models, which should establish complex mathematical dependences between the sensor data, the location and ...
Added: November 4, 2025
Kozyreva P. M., Смирнов А. И., Социологическая наука и социальная практика 2025 Т. 13 № 2 С. 9–27
На основе данных «Российского мониторинга экономического положения и здоровья населения НИУ ВШЭ (RLMS-HSE)» осуществлён анализ особенностей адаптации россиян к новой социальной реальности, формирующейся под влиянием событий чрезвычайного характера. Основное внимание уделено динамическому анализу уровня и отдельных структурных параметров социального самочувствия в период распространения коронавируса COVID-19 и проведения специальной военной операции (СВО), который помогает расширить представление ...
Added: October 29, 2025
Smirnov S. V., Вопросы экономики 2025 № 10 С. 131–154
The paper summarizes machine-learning (ML) methods most relevant to macroeconomics and assesses their performance in forecasting and nowcasting key macro indicators. Despite rapid methodological progress and a surge of publications over the past 25 years, gains in forecast accuracy with traditional statistical (economic, financial, and survey) data remain modest. ML models often outperform naïve and ...
Added: October 12, 2025
Kychkin A., Chernitsin I., Vikentyeva O., , in: 2025 International Russian Automation Conference (RusAutoCon).: IEEE, 2025. P. 1046–1050.
This paper presents system architecture of the automated AI-driven predictive assessment of the ecological state of the air in sanitary protection zones around industrial facilities. The developed solution implements automated pre-processing of data presented in the form of time series using machine learning methods and the construction of short-term forecasts of pollutant concentrations for the ...
Added: October 6, 2025
Чан Ф. Т., Староверова О. В., Kosov M., Аудиторские ведомости 2025 № 2 С. 129–134
This article is devoted to the study of factors affecting enterprise cash flow management. Methods of analysis and synthesis of peer-reviewed scientific sources on this issue are applied. As a result of the research, two groups of factors have been identified and systematized: objective factors (state economic policy, customer influence) and subjective factors (competence of ...
Added: September 22, 2025
Belousov D., Аблаев Э. Ю., Abramova E. et al., Проблемы прогнозирования 2025 № 2 С. 98–117
Статья описывает результаты количественных расчетов в соответствии со сценарными прогнозами мировой и отечественной экономики, а также российского сектора информационнокоммуникационных технологий (ИКТ). На основе сценарных условий определены количественные параметры прогнозов развития отечественного сектора ИКТ в четырех сценариях: «максимальном» (целевой сценарий), «осторожного роста», «умеренной экспансии» и «кризисном» (худший из возможных) с учетом их характерных особенностей. ...
Added: September 19, 2025
Karacharovskiy V., Социологические исследования 2025 № 6 С. 3–14
The article evaluates the possibility of forecasting mass social attitudes based on the interest of the population for the eras in the development of the country. Historical eras and their symbols are considered as comparison standards, temporal analogues of reference groups that provide the mass consciousness with samples of “reserve” standards of living and standards ...
Added: August 12, 2025
К прогнозированию вероятности невооруженной революционной дестабилизации методами машинного обучения
Медведев И. А., Korotayev A., Социология власти 2025 Т. 37 № 2 С. 108–141
The authors provide a broad overview of the main applications for machine learning methods in political sociology. They describe history of the transition from simple regression models to complex machine learning models. The reasons for and benefits of this transition are discussed. The authors identify the main uses of machine learning models in related disciplines and ...
Added: August 1, 2025
Doronina A., Человек 2025 Т. 36 № 3 С. 64–78
The article proposes a hypothesis that work of the symbolist philosopher Vyacheslav I. Ivanov contains an original religious and anthropological concept with which all the themes of his religious and philosophical works are correlated. The author examines the evolution of human understanding in the works of Vyacheslav I. Ivanov, starting with the historical study “The ...
Added: June 25, 2025
Tatyana A. Alexeeva, Kuznetsov N., Mokaev T. et al., Chaos, Solitons and Fractals 2025 Vol. 196 Article 116371
Irregular dynamics (especially chaotic) is often undesirable in economics because it presents challenges for predicting and controlling the behavior of economic agents. In this paper, we used an overlapping generations (OLG) model with a control function in the form of government spending as an example, to demonstrate an effective approach to forecasting and regulating chaotic ...
Added: April 20, 2025
Lee H., Sergey U. Chernikov, Nagy S. et al., Social Sciences 2022 Vol. 11 No. 11 Article 522
This empirical study investigates the impact of the Hofstede cultural dimensions (HCD) on the Global Innovation Index (GII) scores in four different years (2007, 2009, 2019 and 2021) to compare the impacts during the pre- and post-crisis (financial and COVID-19) period by employing ordinary least square (OLS) and robust least square (Robust) analyses. The purpose ...
Added: March 11, 2025
Pshichenko D., Znanstvena misel 2024 No. 96 P. 38–42
The article analyzes the application of artificial intelligence (AI) models for forecasting market volatility (MV). Examples of algorithms such as recurrent neural networks (RNN), long short-term memory (LSTM) networks, and regression methods are studied, demonstrating their effectiveness in processing time series and identifying complex data patterns. The importance of integrating machine learning (ML), as a ...
Added: March 10, 2025