Year: 2025
Type: article
Abstract: This study examines the dynamics of the major international currencies (USD, EUR, RUB, and CNY) in relation to the Kazakhstani Tenge (KZT) between 2000 and 2024, highlighting the crucial role that exchange rate stability plays in economic performance. Understanding currency fluctuations is crucial because Kazakhstan’s economy is highly reliant on the export of commodities and is susceptible to changes in the global economy. The research aims to analyze historical exchange rate trends and develop predictive models using machine learning technique. The methodology used machine learning algorithm, particularly Linear regression models, correlation studies, and descriptive statistical analysis. Data sourced from the National Bank of Kazakhstan encompassed 9,086 data points, providing insights into currency behaviors. Descriptive analysis revealed significant variations, with USD and EUR showing higher volatility compared to more stable RUB and CNY. The study also highlighted interconnected exchange rate dynamics and the unique position of the Russian Ruble, offering valuable insights for policymakers, investors, and all financial market participants navigating KZT complex behavior.
Authors: ZH. B. LAMASHEVA, A. A. SHEKERBEK, A. S. BAEGIZOVA, R. M. DURBENOV, V. LAKHNO, Y. K. ISKAKOV
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4415980265
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