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Finance and Credit
 

An analysis of the impact of monetary policy on the Russian economy

Vol. 28, Iss. 8, AUGUST 2022

Received: 30 May 2022

Received in revised form: 13 June 2022

Accepted: 27 June 2022

Available online: 30 August 2022

Subject Heading: MONETARY ACCOMMODATION

JEL Classification: E42, Е50, Е52, Е58, Е59

Pages: 1852–1872

https://doi.org/10.24891/fc.28.8.1852

Valerii V. SMIRNOV I.N. Ulianov Chuvash State University (ChuvSU), Cheboksary, Chuvash Republic, Russian Federation
v2v3s4@mail.ru

https://orcid.org/0000-0002-6198-3157

Subject. This article discusses the impact of the monetary policy of the Central Bank of the Russian Federation on the Russian economy.
Objectives. The article aims to determine the incidence of monetary policy on the level of development of the Russian economy.
Methods. For the study, I used a systems approach based on the methods of statistical, neural network, and cluster analyses.
Results. The article describes the degree of impact of monetary policy on the development of the Russian economy in various aspects.
Conclusions and Relevance. The revealed impact of monetary policy on the development of the Russian economy indicates the need to ensure a positive balance of operations to provide liquidity in the context of reducing overdue wage arrears and the consumer price index to the Ministry of Finance and the Central Bank of the Russian Federation. The study expands the scope of knowledge and develops the competencies of the scientific community and monetary authorities in the formation and implementation of the Russian monetary policy.

Keywords: exchange rate, foreign trade turnover, money supply, inflation, key interest rate

References:

  1. Goryunov E.L., Drobyshevsky S.M., Mau V.A., Trunin P.V. [What do we (not) know about the effectiveness of the monetary policy tools in the modern world?]. Voprosy Ekonomiki, 2021, no. 2, pp. 5–34. (In Russ.) URL: Link
  2. Sohag K., Gainetdinova A., Mariev O. The Response of Exchange Rates to Economic Policy Uncertainty: Evidence from Russia. Borsa Istanbul Review, 2022, vol. 22, iss. 3, pp. 534‒545. URL: Link
  3. Wen F., Shui A., Cheng Y., Gong X. Monetary Policy Uncertainty and Stock Returns in G7 and BRICS Countries: A Quantile-on-Quantile Approach. International Review of Economics & Finance, 2022, vol. 78, pp. 457–482. URL: Link
  4. Kuzman T., Lazarevic J., Nedeljkovic M. Capital Flows Liberalisation and Macroprudential Policies: The Effects on Credit Cycles in Emerging Economies. Economic Analysis and Policy, 2022, vol. 73, pp. 602–619. URL: Link
  5. Dang V.D., Huynh J. Bank Funding, Market Power, and the Bank Liquidity Creation Channel of Monetary Policy. Research in International Business and Finance, 2022, vol. 59, 101531. URL: Link
  6. Wang C.-W., Lee C.-C., Chen M.-C. The Effects of Economic Policy Uncertainty and Country Governance on Banks' Liquidity Creation: International Evidence. Pacific-Basin Finance Journal, 2022, vol. 71, 101708. URL: Link
  7. King A.P., Eckersley R.J. Chapter 1: Descriptive Statistics I: Univariate Statistics. In: Statistics for Biomedical Engineers and Scientists: How to Visualize and Analyze Data. Academic Press, 2019, pp. 1–21. URL: Link
  8. Brownstein N.C., Adolfsson A., Ackerman M. Descriptive Statistics and Visualization of Data from the R Datasets Package with Implications for Clusterability. Data in Brief, 2019, vol. 25, no. 104004. URL: Link
  9. Fávero L.P., Belfiore P. Chapter 3: Univariate Descriptive Statistics. In: Data Science for Business and Decision Making. Academic Press, 2019, pp. 21–91. URL: Link
  10. Urlacher B.R. Complexity, Causality, and Control in Statistical Modeling. American Behavioral Scientist (ABS), 2020, vol. 64, iss. 1, pp. 55–73. URL: Link
  11. Fávero L.P., Belfiore P. Chapter 11: Cluster Analysis. In: Data Science for Business and Decision Making. Academic Press, 2019, pp. 311–382. URL: Link
  12. Adolfsson A., Ackerman M., Brownstein N.C. To Cluster, or Not to Cluster: An Analysis of Clusterability Methods. Pattern Recognition, 2019, vol. 88, pp. 13–26. URL: Link

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