Data of Sectoral Financial Flows as a High-Frequency Indicator of Economic Activity

Turdyeva, Natalia; Tsvetkova, Anna; Movsesyan, Levon; Alexey, Alexey; Chernyadev, Dmitriy

doi:10.31477/rjmf.202102.28

RJMF

2021

DOI: 10.31477/rjmf.202102.28

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Data of Sectoral Financial Flows as a High-Frequency Indicator of Economic Activity

Natalia Turdyeva¹,

Anna Tsvetkova²,

Levon Movsesyan³

et al.

Abstract: 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 Ban… Show more

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Cited by 6 publications

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Conceptual Approaches to the Development of a Cash Flow Classifier

Масленников¹,

Ларионов

2023

Vestn. Ross. èkon. univ. im. G. V. Plehanova

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Cash flows are a convenient source of operational information for analyzing the state of the economy. Obtaining this information will ensure the use of operational regulatory tools to achieve the goals of economic security. The purpose of the study is to conceptualize the problem of creating a domestic classifier of cash flows, which acts as an early identification tool for crisis phenomena in the economy. The authors systematize foreign and domestic approaches to the creation of a classifier of cash flows, the organization of monitoring of the volatility of cash flows. The article reveals the differences between the classifier of payments and cash flows, identifies the key limitations associated with the creation of the classifier. There are three levels of cash flows: individual, group and territorial. These levels can form the basis of the created cash flow classifier. The authority to monitor cash flows should be assigned to the Bank of Russia. Considering the prospects of expanding the capabilities of the Bank of Russia's payment system and the introduction of the digital ruble, the Bank of Russia can collect and promptly analyze information about cash flows. The object of monitoring is the level of volatility of cash flows. Subsequently, the information received can be automatically transmitted to the relevant authority for the use of state regulation tools.

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Conceptual Approaches to the Development of a Cash Flow Classifier

Масленников¹,

Ларионов

2023

Vestn. Ross. èkon. univ. im. G. V. Plehanova

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Methodological Approach to Developing Labour Volatility Indicator

Larionov,

Podvoysky

2023

Vestn. Ross. èkon. univ. im. G. V. Plehanova

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The COVID-19 pandemic has had a negative impact on the socio-economic development of countries, in particular on the labor market. To counteract large-scale challenges, it is necessary to create a labor market monitoring system that allows identifying the occurrence of potential negative events at an early stage. The article suggests the author's approach to calculating the indicator of labor volatility. To calculate the labor volatility indicator, correlation analysis is used, as well as normalization of the selected indicators. By calculating the geometric mean and the subsequent inverse indicator, the achieved value of the labor volatility indicator is estimated. The approbation of the developed methodological approach was carried out for the period from 2019 to 2021. The regions of Russia were divided into two groups from the position of assessing the growth of volatility of the interaction of economic entities in the labor market. The positive dynamics in terms of reducing the level of volatility of labor relations, for example, was demonstrated by the Ivanovo region. Negative dynamics in terms of the growth of the volatility of labor relations was observed in the Astrakhan region. The developed indicator of labor volatility makes it possible to determine the emergence of non-standard practices of interaction between economic entities, to identify areas in which a crisis could potentially occur. The values of the labor volatility indicator can be used to assess the effectiveness of the instruments of state influence. If a decision is made on the practical use of the proposed methodological approach, it is necessary to increase the frequency of evaluation of the indicator of labor volatility. To do this, it is advisable to use operational data, in particular information about cash flows in the labor market.

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High-frequency retail data: the interests of the state, enterprises and scientific organizations

Timiryanova

2023

Upravlencheskoe konsul'tirovanie

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The rapid development of technologies for collecting and analyzing big data, including those characterizing trade, is currently taking place. This data, with a high degree of detail, takes into account the whole variety of consumer decisions, which allows them to develop key management proposals on what, where and when to produce and sell. Banks, retail chains, and the state are actively interested in these data. At the same time, individual small and medium-sized enterprises weak use of big data in their activities. The purpose of this study is to highlight the problems and prospects for their application for management purposes, based on an analysis of the current practice of using high-frequency retail data. As a result of the study, the features of the available data of retail companies, payment systems and OFDs, which are manifested in their different structure and limitations for use in the development of management decisions, are highlighted. It is shown that big data characterizing retail trade is available to a narrow circle of people who, as a rule, have their own interests, which are not yet consistent with the idea of open publication of these data, even for scientific purposes. There are very few research publications based on high-frequency fiscal data. Such closeness of data does not create prerequisites for the active development of skills in working with them in most enterprises and organizations, which determines the weak use of microdata for management purposes.

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Data of Sectoral Financial Flows as a High-Frequency Indicator of Economic Activity

Cited by 6 publications

References 6 publications

Conceptual Approaches to the Development of a Cash Flow Classifier

Conceptual Approaches to the Development of a Cash Flow Classifier

Methodological Approach to Developing Labour Volatility Indicator

High-frequency retail data: the interests of the state, enterprises and scientific organizations

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