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Data of Sectoral Financial Flows as a High-Frequency Indicator of Economic Activity
Russian Journal of Money and Finance. 2021. Vol. 80. No. 2. P. 28–49.
Turdyeva N., Tsvetkova A., Movsesyan L., Porshakov A., Chernyadyev D.
In times of crisis, events are moving fast and standard macroeconomic statistics published with a lag cannot quite keep pace with the changing situation. During such periods, there is an increasing need to use high-frequency indicators that allow virtually real-time monitoring of economic activity. In many countries, this is achieved by using financial transaction data. In this paper, we present a methodology for the current analysis of sectoral financial flows in the Russian economy based on data from the Bank of Russia payment system. We use the information on the dynamics of average daily payments for each class of OKVED 2 (the Russian National Classifier of Economic Activities) to develop high-frequency indicators of economic activity, which have been published on the Bank of Russia website since April 2020. We also tentatively discuss the potential of financial transaction data in terms of improving the tools for short-term forecasting of business activity dynamics and solutions to other research problems.
Fedorova E., Ledyaeva S., Stepanov V., International Review of Economics and Finance 2026
This study investigates the influence of low-quality information, specifically fake news, on short
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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 ...
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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. ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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, ...
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We construct a monthly indicator and produce a nowcast of nominal GDP in Russia using operational
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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 ...
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Makeeva N., Экономика и математические методы 2026 Т. 62 № 2 С. 58–72
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Сущая Е. С., Kuzyk M., Gorodnyi N., Вопросы государственного и муниципального управления 2024 № 4 С. 152–190
Th e article presents a cross-country analysis of the eff ectiveness of the principal business support strategies deployed during the COVID-19 pandemic. Th e research builds on existing literature on the relevant issues. Th e substantial details of the anti-crisis support provided to businesses in diff erent countries have been revealed. Th e evidence indicates that the volume ...
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Bronitsky G., Population and Economics 2024 Vol. 8 No. 2 P. 133–154
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Makeeva N., Stankevich I., Любайкин Н. С., Вопросы экономики 2024 № 3 С. 120–142
In this paper the following models are compared: restricted and unrestricted MIDAS-models (mixed data sampling models), MFBVAR-model (mixed frequency Bayesian vector autoregression), Linear model with regularization (MIDAS_L1-, MIDAS_L2- and MIDAS_PC-model) and dynamic factor model. The results are compared with classical autoregression as a benchmark. Production indices for different industries and indicators characterizing Russian GDP and ...
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Fedyunina A., Юревич М. А., Gorodnyi N., Вопросы экономики 2024 № 3 С. 96–119
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Kuzyk M., Сергеева К. П., Journal of Applied Economic Research 2024 Т. 23 № 2 С. 522–550
Robotization and automation of various industries is one of the main technological trends of the last decade. However, the role of robotization in companies' ability to weather the 2020 coronary crisis has not been fully explored to date. Additionally, there is no empirical research at all on the impact of robots on the success of ...
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Stankevich I., Прикладная эконометрика 2023 № 2(70) С. 122–143
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Eliseev A., В кн.: Системное моделирование социально-экономических процессов: труды 45-ой Юбилейной международной научной школы-семинара, д. Красновидово Московской области, 3 – 9 октября 2022 г.: Воронеж: Истоки, 2022. С. 400–403.
Макроэкономические прогнозирование на основе моделей общего равновесия имеет ряд неоспоримых преимуществ. Однако из-за использования на квартальных данных данные модели не позволяют учитывать более оперативную информацию из более высокочастотных данных (например, ежемесячных), тогда как ранняя идентификация происходящих в экономике шоков является важным условием выстраивания рекомендаций для макроэкономической политики. Настоящее исследование решает данную проблему, используя методологию комбинирования ...
Added: June 9, 2023
Turdyeva N., Tsvetkova A., Movsesyan L. et al., Russian Journal of Money and Finance 2021 No. 80(2) P. 28–49
In times of crisis, events are moving fast and standard macroeconomic statistics published with a lag cannot quite keep pace with the changing situation. During such periods, there is an increasing need to use high-frequency indicators that allow virtually real-time monitoring of economic activity. In many countries, this is achieved by using financial transaction data. ...
Added: May 15, 2023