Preview

Finance: Theory and Practice

Advanced search

Non-emission Contour of the National Financial System and the Principle of Cognitive Modeling in Its Stress Testing

https://doi.org/10.26794/2587-5671-2026-30-3-168-180

Abstract

The relevance of the study is determined by the fact that in the context of the transformation of the international monetary system and the pressure of sanctions, Russia faces the need to take a proactive position in terms of ensuring the sovereign nature of its national financial and monetary systems. In this context, a team of researchers from the Institute of Innovative Financial Instruments and Technologies at the Plekhanov Russian University of Economics have developed a model for the creation of an investment (reserve) contour for the national financial system, based on the use of multi-commodity and multi-currency price stability indices, while the check of the degree of stability to the external environment and the possibility of practical application of this model is the purpose of the study in question. The methodology of stress testing of risk factors accompanying the functioning of the model was chosen as the basis for the evidence base. To implement the stress testing procedure, the cognitive modeling apparatus was used, which is capable of dealing with weakly formalized situations and expert-based parameters within its interdisciplinarity framework. Based on the generated list of control factors, a cognitive model was created in matrix and graph forms. An analysis of its structural stability and resistance to disturbances was conducted. The main hypothesis of this study is the ability of the proposed model for this issue, circulation and redemption of financial instruments secured by raw materials, currencies of friendly countries and other assets to overcome the main stresses (risks) generated by the control factors selected by the authors. This hypothesis was tested using a scenario approach. Within the framework of this approach, a number of scenarios were tested that corresponded to risk groups associated with the stages of the functioning of financial instruments in the investment (reserve) circuit. The substantive formulation of scenarios and their implementation using the impulse model have allowed us to obtain results in the context of three options for the development of situations. These results have substantiated the stability of the optimistic and basic behavior under stress tests, and confirmed the practical suitability of the developed approach to forming the non-emission (reserve) contour of the national financial system.

About the Authors

S. N. Ryabukhin
Plekhanov Russian University of Economics
Russian Federation

Sergey N. Ryabukhin — Dr. Sci. (Econ.), Senator of the Russian Federation, First Deputy Chairman of the Federation Council Committee on Budget and Financial Markets, Director of the Research Institute “Innovative Financial Instruments and Technologies”

Moscow


Competing Interests:

The authors have no conflicts of interest to declare.



S. I. Belenchuk
Plekhanov Russian University of Economics
Russian Federation

Sergei I. Belenchuk — Cand. Sci. (Econ.), leading researcher, Research Institute “Innovative Financial Instruments and Technologies”

Moscow


Competing Interests:

The authors have no conflicts of interest to declare.



V. V. Borisova
State University of Management; Plekhanov Russian University of Economics
Russian Federation

Victoria V. Borisova — Cand. Sci. (Econ.), Assoc. Prof., Head of the Department of Management of Industrial Organizations, State University of Management; leading researcher, Research Institute “Innovative Financial Instruments and Technologies”, Plekhanov Russian University of Economics

Moscow


Competing Interests:

The authors have no conflicts of interest to declare.



V. V. Vodyanova
Plekhanov Russian University of Economics; Russian Presidential Academy of National Economy and Public Administration (RANEPA)
Russian Federation

Vera V. Vodyanova — Dr. Sci. (Econ.), Assoc. Prof., Prof., Russian Presidential Academy of National Economy and Public Administration under the President of the Russian Federation (RANEPA); Chief Researcher, Research Institute “Innovative Financial Instruments and Technologies”, Plekhanov Russian University of Economics

Moscow


Competing Interests:

The authors have no conflicts of interest to declare.



M. A. Minchenkov
Plekhanov Russian University of Economics
Russian Federation

Mikhail A. Minchenkov — Associate Director, Research Institute “Innovative Financial Instruments and Technologies”

Moscow


Competing Interests:

The authors have no conflicts of interest to declare.



References

1. Glazyev S.Yu. A Leap into the future. Russia in the new technological and world economic orders. Moscow: Knizhnyi Mir; 2018. 768 p. (In Russ.).

2. Bagdasaryan V. E., Ierusalimskii Yu.Yu., archimandrite Sil’vestr (Lukashenko S. P.). Chaos as a strategy of globalism. Moscow: Otchii Dom; 2023. 688 p. (In Russ.).

3. Ryabukhin S. N., Minchenkov M. A., Vodianova V. V., et al. Dual goods. Innovative financial instruments and technologies. Moscow: Nauchnaya Biblioteka; 2023. 216 p. (In Russ.).

4. Ryabukhin S. N. New financial instruments and technologies in the context of global transformations. Nauchnye trudy Vol’nogo ekonomicheskogo obshchestva Rossii = Scientific Works of the Free Economic Society of Russia. 2022;235(3):105-108. (In Russ.). DOI: 10.38197/2072-2060-2022-235-3-105-108

5. Pishchik V.Ya., Alekseev P. V. Features and factors of the implementation of the function of world money by reserve assets in the modern GMFS. Finance: Theory and Practice. 2024;28(5):21-30. DOI: 10.26794/2587-5671-2024-28-5-21-30

6. Vasyukov E. A., Kolesov V. P. Cooperation of the BRICS in currency policies: Problems and prospects. Finansy, den’gi, investitsii = Finances, Money, Investments. 2023;(1):3-9. (In Russ.). DOI: 10.36992/2222-0917_2023_1_3

7. Kuznetsov A. V. Conceptual approaches to the formation of a stable world monetary and financial system. Finance: Theory and Practice. 2023;27(4):164-172. DOI: 10.26794/2587-5671-2023-27-4-164-172

8. Krylova L. V. Digital currencies in cross-border payments: Use under sanctions. Finance: Theory and Practice. 2024;28(2):101-111. DOI: 10.26794/2587-5671-2024-28-2-101-111

9. Auer R., Lewrick U., Paulick J. DeFiying gravity? An empirical analysis of cross-border Bitcoin, Ether and stablecoin flows. BIS Working Papers. 2025;(1265). URL: https://www.bis.org/publ/work1265.pdf (accessed on 17.05.2025).

10. Dzhu O. S. Forecasting the sustainability of budgetary system in conditions of development of integration processes using the method of cognitive modeling. Vestnik Rostovskogo gosudarstvennogo ekonomicheskogo universiteta (RINKh) = Vestnik of Rostov State University of Economics. 2021;(3):177-185. (In Russ.).

11. Voronova N. S., Yakovleva E. A., Sharich E. E., Yakovleva D. D. Cognitive modeling of the decision-making process in finance. Ekonomika, predprinimatel’stvo i pravo = Journal of Economics, Entrepreneurship and Law. 2022;12(2):761-776. (In Russ.). DOI: 10.18334/epp.12.2.114232

12. Lomakin N. I., Maramygin M. S., Moskovtsev A. F., et al. Cognitive modeling of the sustainable development of the banking system under the conditions of innovative transformations. Mezhdunarodnaya ekonomika = The World Economics. 2023;(10):715-733. (In Russ.). DOI: 10.33920/vne-04-2310-06

13. Lapshina I. V., Alekseeva A. V. The risks of decarbonization in the geopolitical environment of modern states from the perspective of cognitive modeling. Gumanitarnye i social’nye nauki = The Humanities and Social Sciences. 2023;101(6):9-19. (In Russ.). DOI: 10.18522/2070-1403-2023-101-6-9-19

14. Borisova V. V. On the possibilities of cognitive modeling in problems of strategic management. Innovatsii i investitsii = Innovation & Investment. 2023(4):117-122. (In Russ.).

15. Yuditskii S. A., Vladislavlev P. N. Pre-project modeling of the functioning of organizational systems. Moscow: Nauchtekhlitizdat; 1999. 120 p. (In Russ.).

16. Gorelova G. V., Badwan N. L. Interbranch financial capital movement: Cognitive modeling. Vestnik Adygeiskogo gosudarstvennogo universiteta. Seriya: Ekonomika = Bulletin of the Adyghe State University. Series: Economics. 2018;(2):132-142. (In Russ.).

17. Katasonov V. Yu. Gold in world and Russian history of the 19th‑21st centuries. Moscow: Rodnaya Strana; 2017. 448 p. (In Russ.).

18. Sotnikov D. S., Zhuravleva O. V., Varvus S. A., Buevich A. P. The role of gold in the modern economy. Finance: Theory and Practice. 2025;29(2):238-250. DOI: 10.26794/2587-5671-2025-29-2-238-250

19. Casti J. L. Connectivity, complexity, and catastrophe in large-scale systems. Chichester: John Wiley & Sons Ltd; 1979. 218 p.


Review

For citations:


Ryabukhin S.N., Belenchuk S.I., Borisova V.V., Vodyanova V.V., Minchenkov M.A. Non-emission Contour of the National Financial System and the Principle of Cognitive Modeling in Its Stress Testing. Finance: Theory and Practice. 2026;30(3):168-180. https://doi.org/10.26794/2587-5671-2026-30-3-168-180

Views: 121

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2587-5671 (Print)
ISSN 2587-7089 (Online)