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2023 | 24 | 1 | 169-197

Article title

Statistical modelling and forecasting of wheat and meslin export from Ukraine using the singular spectral analysis

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Abstracts

EN
The article addresses the problems related to the functioning of the worldwide market of wheat and meslin. The authors identify the countries that over the past 17 years have been among the top 10 world leaders in terms of the value of export and import of wheat and meslin. The structure of wheat export by Ukrainian regions is analysed in comparison with the total export. The localisation coefficient is applied to measure the regional unevenness of the distribution of wheat export volumes and the total export by regions of the country. The modelling and forecasting of the volumes and prices of export of wheat and meslin from Ukraine are based on Singular Spectrum Analysis. The study particularly focuses on the individual components of time series, such as trend, annual, semi-annual, four-month, three-month seasonal components. The reliability of the forecast is confirmed by the calculation of the MAPE forecast error and Henry Theil’s inequality coefficient. The article proposes an algorithm for calculating the relative indicators of the structure for the individual components of the reconstructed time series, identified through the singular spectral analysis.

Year

Volume

24

Issue

1

Pages

169-197

Physical description

Dates

published
2023

Contributors

author
  • V. N. Karazin Kharkiv National University. Department of Statistics, Accounting and Auditing, Ukraine
  • V. N. Karazin Kharkiv National University. Department of Statistics, Accounting and Auditing, Ukraine
  • V. N. Karazin Kharkiv National University. Department of Statistics, Accounting and Auditing, Ukraine
  • V. N. Karazin Kharkiv National University. Department of Statistics, Accounting and Auditing, Ukraine
  • V. N. Karazin Kharkiv National University. Department of Statistics, Accounting and Auditing, Ukraine

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Document Type

Publication order reference

Identifiers

Biblioteka Nauki
10184472

YADDA identifier

bwmeta1.element.ojs-doi-10_59170_stattrans-2023-010
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