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Анализ и прогнозирование платежеспособности предприятий разной отраслевой принадлежности и размера
С. 715–718.
Bogdanova T.
In case of loss of solvency, one of its most important characteristics, the enterprise becomes unattractive for counterparties, since interaction with such an enterprise threatens the counterparty with loss of its own funds. An exception can be only cases of absorption of the insolvent enterprise by a more powerful competitor. In this paper, we propose a model for assessing and forecasting the solvency of the enterprise, which, along with financial indicators, also takes into account its industry affiliation and size.
In book
ЦЭМИ РАН, 2018.
Lola I. S., Asoskov D., Ursulenko V., ИСИЭЗ НИУ ВШЭ, 2026.
Настоящая работа посвящена сравнению эффективности классических эконометрических моделей и современных алгоритмов машинного и глубокого обучения для кратко- и среднесрочного прогнозирования качественных данных бизнес-опросов деловой активности обрабатывающих производств России. На основе данных за период с января 2010 г. по март 2026 г. было комплексно протестировано 10 различных подходов, включая классические модели ARIMA, VAR, ETS, алгоритм XGBoost ...
Added: September 21, 2026
Vagin S., В кн.: ЭКОНОМИЧЕСКИЕ СТРАТЕГИИ В ЭПОХУ ПЕРЕМЕН: материалы II международной научно-практической конференции молодых ученых, аспирантов, магистрантов и студентов.: Краснодар: Российский университет кооперации, 2025. С. 59–63.
Added: August 27, 2026
Астафьева Е.В., Турунцева М. Ю., Вестник Евразийской науки 2025 Т. 17 № 6
В работе исследуются возможности использования простых процедур корректировки и объединения прогнозов. Мы оцениваем влияние применения этих процедур (методов простой корректировки, простых и регрессионных методов комбинирования) на качество прогнозов показателей российского экспорта во все страны и импорта из всех стран. В общей сложности мы использовали четыре метода корректировки, 9 методов простого комбинирования и семь регрессионных методов. ...
Added: August 21, 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
Троцкая И. А., Львова О. А., Короткова Е. В. et al., В кн.: Медицинское образование, наука, практика : Сборник статей X Международной научно-практической конференции молодых ученых и студентов, 22-23 апреля 2025 г. Т.2.: Екатеринбург: ФГБОУ ВО УГМУ Минздрава России, 2025. С. 673–679.
Pediatric ischemic stroke is considered to be a rare condition. Correct recognition of the acute symptoms
and further monitoring of the dynamics of them may allow predicting the child's development and further adaptation. The aim of the study was to provide clinical and imaging features of the acute period of ischemic stroke with debut at an ...
Added: March 2, 2026
Карелина М. Г., Mkhitarian V., Финансы и бизнес 2025 Т. 21 № 4 С. 49–65
Дизельное топливо играет важную роль в российской экономике, его значимость обусловлена высокой эффективностью, экономичностью, надежностью и широким спектром применения. Россия один из крупнейших вмире экспортеров дизельного топлива, что обеспечивает значительные поступления в бюджет страны и является геополитическим инструментом в рамках глобальных трансформационных процессов. Статистическая оценка развития российского рынка дизельного топлива в представленной работе проводилась в ...
Added: February 20, 2026
Ustyuzhanin V., Демографическое обозрение 2025 Т. 12 № 4 С. 100–122
Formal demographic analysis, including the construction of life tables, standardization of indicators, decomposition of changes, and modeling of demographic processes, requires complex calculations and data manipulation. Despite the advances in methods, many of them have not yet been implemented as ready-to-use, convenient tools in modern statistical environments. To address this issue, we present the demor ...
Added: December 30, 2025
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
Пермь: Пермский государственный национальный исследовательский университет, 2024.
This collection presents the proceedings of the Ninth All-Russian Scientific and Practical Conference with International Participation, "Artificial Intelligence in Solving Current Social and Economic Problems of the 21st Century," which was held October 17–18, 2024, in Perm. The collection is intended for researchers and educators, lecturers, postgraduate and master's students, undergraduates, and anyone interested in ...
Added: November 19, 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
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
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
Семаков С. Л., Семаков А. С., М.: Физматлит, 2012.
Рассматриваются методы прогнозирования и оперативного управления процессом продаж товара в торговых сетях. Работа будет интересна аналитикам и менеджерам торговых сетей, а также студентам вузов, предполагающим свою дальнейшую деятельность в качестве сотрудников торговых сетей. ...
Added: August 5, 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