Financial Journal

p. 26-42

Authors: Mariya A. Pechenskaya-Polishchuk

The paper carries systematization of a step-by-step evolutionary change in theoretical views on debt financing of public expenditures. A comprehensive analysis of the most important characteristics of the state debt of the constituent entities of the Russian Federation since 2006 has been carried out. Seven situations of varying degree of emergency calling for government support have been identified. These periods are determined by identifying the prerequisites for the emergence, quantitative characteristics, structural deformations of debt and instruments of state regulation. Based on the results of the analysis, it was concluded that the attraction of borrowed budget resources to the regions of the Russian Federation was mainly a forced and spontaneous process, subject to time changes and carried out mainly to make up for the lack of the region’s own budget revenues. The research proves that attracting budgetary resources to the region requires a systematic approach and consideration of two factors: how the region’s own budgetary potential affects the borrowed budgetary resources and how they in turn can affect the region’s own budgetary capacity of current and / or future periods. There are scenarios about impact of borrowed budgetary resources on the territory's own budgetary capacity.

p. 55-72

Authors: Maria O. Izmailova

The coronavirus pandemic has affected all the economies throughout the world, including tax revenues from economic entities. The purpose of this research was to study the development of self-employment in Russia and foreign countries during the spread of a new coronavirus infection and to assess tax revenues from the self-employed to the budget system of the Russian Federation during this period. Within the framework of this research, various approaches to the status of a self-employed person are considered. It has been established that there is currently no single approach to interpreting selfemployment either in the scientific community or in the explanations of various government agencies. Based on statistics from the International Labour Organization, it was found that the scope of selfemployment in the world in connection with the coronavirus pandemic has not changed significantly, and in some countries has even increased, due to the search for additional sources of income by the self-employed, especially in low-income countries (Africa, India). The impact of the pandemic on the income level of the self-employed, the development of certain types of activities in this segment of employment, the turnover of payments made in favor of persons of liberal professions has been established. Despite the fact that the activities of the self-employed in Russia have suffered less from the coronavirus pandemic (unlike foreign countries), the contribution to the budget system of our country from this segment of employment falls below the most pessimistic forecasts. It is concluded that the self-employment segment has a powerful potential for development and is able to provide considerable tax revenues to the budget system of Russia.

p. 91-112

Authors: Andrey Yu. Nevela, Victor A. Lapshin

Model risk is currently a topic of great interest both to the academic community and to the financial industry; however, there is not yet any generally accepted approach to measuring it as of now. We give a review of basic model risk definitions and different indicators and approaches to model risk estimation and calculation within a common setting. The subject of this work is model risk itself that arises while using models to estimate financial risk and its quantitative indicators. The study is of particular relevance to financial institutions which for a long time have been actively applying different risk models. Since there is no generally accepted way to do so, choosing the exact approach becomes an important step in modelling. The aim of the paper is to demonstrate different approaches to model risk estimation on the same example of estimating the model risk of Value-at-Risk models and compare them within one setting. Methods used: analysis of time series, theoretical distribution parameters estimation. The result of the work is a list of methods and approaches for estimating and calculating model risk with the examples of applying these methods to a real risk-management task with appropriate interpretation. This work can be useful for researchers and risk managers of financial institutions.