| Issue |
ITM Web Conf.
Volume 67, 2024
The 19th IMT-GT International Conference on Mathematics, Statistics and Their Applications (ICMSA 2024)
|
|
|---|---|---|
| Article Number | 01021 | |
| Number of page(s) | 14 | |
| Section | Mathematics, Statistics and Their Applications | |
| DOI | https://doi.org/10.1051/itmconf/20246701021 | |
| Published online | 21 August 2024 | |
Investigating the lingering effects of the pandemic on wholesale industry sales in South Africa
Department of Mathematical Statistics and Actuarial Science, Faculty of Natural and Agricultural Sciences, University of the Free State, South Africa
* Corresponding author: shongwesc@ufs.ac.za
This study aims to investigate the lingering impact of the COVID-19 pandemic on the South African total monthly wholesale trade sales using time series Box-Jenkins methodology. The SARIMA(2,1,1)(0,1,1)12 model provides the best fit to the SA’s total monthly wholesale trade sales series as it has the lowest Akaike’s information criterion, Bayesian information criterion, root mean square error and mean absolute percentage error values which serve as model selection and model adequacy metrics. The findings of this study show that the South African wholesale industry trade sales were negatively affected by the COVID-19 pandemic but have fully recovered.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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