FORECASTING OF KAZAKHSTAN'S TRADE TURNOVER WITH THE EAEU MEMBER STATES

The present article provides statistical analysis of the Republic of Kazakhstan trade turnover with the EAEU member states. Based on quarterly data for the period of January 1, 2020 –June 30, 2024, time series models for exports and imports are being created in order to predict the volume of the Republic of Kazakhstan trade turnover in value terms for the 3rd and 4th quarters of 2024. In the first case, a polynomial model of the trend line of the fifth degree is applied to build models, in the second case, a multiplicative model is applied. The results of the study may be useful for determining future trends and structural changes in the economy of the Republic of Kazakhstan

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Publication Details

Journal
Science & World
Published
2024-12-22
DOI
https://doi.org/10.26526/2307-9401-2024-3-16-20
Primary Topic
Global trade and economics
Type
article
Field-Weighted Citation Impact
0.00
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article

FORECASTING OF KAZAKHSTAN'S TRADE TURNOVER WITH THE EAEU MEMBER STATES

Mariya Tsvil, M. Bedenko, E. Lepeshkina
Science & World
Global trade and economics
article

FORECASTING OF KAZAKHSTAN'S TRADE TURNOVER WITH THE EAEU MEMBER STATES

Mariya Tsvil, M. Bedenko, E. Lepeshkina
article en

Abstract

The present article provides statistical analysis of the Republic of Kazakhstan trade turnover with the EAEU member states. Based on quarterly data for the period of January 1, 2020 –June 30, 2024, time series models for exports and imports are being created in order to predict the volume of the Republic of Kazakhstan trade turnover in value terms for the 3rd and 4th quarters of 2024. In the first case, a polynomial model of the trend line of the fifth degree is applied to build models, in the second case, a multiplicative model is applied. The results of the study may be useful for determining future trends and structural changes in the economy of the Republic of Kazakhstan

Science & WorldVol. 0(3)
Russian Customs Academy (RU)
Partnerships for the goals
Openalex Percentile: Top 57%
Global trade and economics
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