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Journal of Computational and Engineering Mathematics, 2023, Volume 10, Issue 3, Pages 54–66
DOI: https://doi.org/10.14529/jcem230305
(Mi jcem244)
 

This article is cited in 1 scientific paper (total in 1 paper)

Engineering Mathematics

Dynamics modeling of credit interest rate

E. K. Zerkina, E. I. Nazarova

South Ural State University, Chelyabinsk, Russian Federation
Full-text PDF (654 kB) Citations (1)
Abstract: This article provides statistical modeling of the dynamic changes in the interest rate on loans provided by credit institutions to individuals by districts of the Russian Federation from January 2019 to March 2023, using technical analysis tools. A forecast of the credit interest rate for the Ural Federal District until the end of 2023 was constructed. The influence of external factors on the credit interest rate was studied, such external factors include the key rate of the Central Bank, the percentage of inflation, deposits of individuals, the average monthly nominal accrued wages of employees and the consumer price index for goods and services for the period from January 2019 to March 2023 based on data from the Federal Statistics Service.
Keywords: statistics, modeling, credit interest rate, prediction.
Received: 31.08.2023
Document Type: Article
UDC: 519.2
MSC: 91B84
Language: English
Citation: E. K. Zerkina, E. I. Nazarova, “Dynamics modeling of credit interest rate”, J. Comp. Eng. Math., 10:3 (2023), 54–66
Citation in format AMSBIB
\Bibitem{ZerNaz23}
\by E.~K.~Zerkina, E.~I.~Nazarova
\paper Dynamics modeling of credit interest rate
\jour J. Comp. Eng. Math.
\yr 2023
\vol 10
\issue 3
\pages 54--66
\mathnet{http://mi.mathnet.ru/jcem244}
\crossref{https://doi.org/10.14529/jcem230305}
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  • https://www.mathnet.ru/eng/jcem/v10/i3/p54
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Journal of Computational and Engineering Mathematics
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