Intelligent hybrid forecasting for Iraq exports
Accurate forecasting of export trajectories is vital for countries to develop effective trade policies, assess economic growth opportunities, and make informed strategic decisions. This is particularly crucial for Iraq, a nation whose fiscal stability is deeply intertwined with its export performanc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/31/e3sconf_iccsei2023_01004.pdf |
| _version_ | 1797248962968682496 |
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| author | Ashour Marwan Abdul Hameed Abbas Rabab Alayham |
| author_facet | Ashour Marwan Abdul Hameed Abbas Rabab Alayham |
| author_sort | Ashour Marwan Abdul Hameed |
| collection | DOAJ |
| description | Accurate forecasting of export trajectories is vital for countries to develop effective trade policies, assess economic growth opportunities, and make informed strategic decisions. This is particularly crucial for Iraq, a nation whose fiscal stability is deeply intertwined with its export performance. Recognizing the need for more sophisticated predictive methods in this domain, this research introduces an innovative hybrid model that synergizes Artificial Neural Networks (ANN) and Wavelet Transforms (WT). The integration of these two methodologies aims to enhance the precision and adaptability of forecasts of Iraq's export trends. By leveraging the individual strengths of ANN and WT, this model promises to offer a more robust and reliable tool for forecasting, catering to the dynamic and complex nature of export data. This study not only contributes to the theoretical framework of export prediction but also provides practical insights for policymakers and stakeholders in shaping future-oriented trade strategies. |
| first_indexed | 2024-04-24T20:22:56Z |
| format | Article |
| id | doaj.art-a8d12edd885d41cba826ee4c0948ce53 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-24T20:22:56Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-a8d12edd885d41cba826ee4c0948ce532024-03-22T07:55:39ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015010100410.1051/e3sconf/202450101004e3sconf_iccsei2023_01004Intelligent hybrid forecasting for Iraq exportsAshour Marwan Abdul Hameed0Abbas Rabab Alayham1University of Baghdad, Statistics DepartmentManagement &Science University, Computer Science DepartmentAccurate forecasting of export trajectories is vital for countries to develop effective trade policies, assess economic growth opportunities, and make informed strategic decisions. This is particularly crucial for Iraq, a nation whose fiscal stability is deeply intertwined with its export performance. Recognizing the need for more sophisticated predictive methods in this domain, this research introduces an innovative hybrid model that synergizes Artificial Neural Networks (ANN) and Wavelet Transforms (WT). The integration of these two methodologies aims to enhance the precision and adaptability of forecasts of Iraq's export trends. By leveraging the individual strengths of ANN and WT, this model promises to offer a more robust and reliable tool for forecasting, catering to the dynamic and complex nature of export data. This study not only contributes to the theoretical framework of export prediction but also provides practical insights for policymakers and stakeholders in shaping future-oriented trade strategies.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/31/e3sconf_iccsei2023_01004.pdf |
| spellingShingle | Ashour Marwan Abdul Hameed Abbas Rabab Alayham Intelligent hybrid forecasting for Iraq exports E3S Web of Conferences |
| title | Intelligent hybrid forecasting for Iraq exports |
| title_full | Intelligent hybrid forecasting for Iraq exports |
| title_fullStr | Intelligent hybrid forecasting for Iraq exports |
| title_full_unstemmed | Intelligent hybrid forecasting for Iraq exports |
| title_short | Intelligent hybrid forecasting for Iraq exports |
| title_sort | intelligent hybrid forecasting for iraq exports |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/31/e3sconf_iccsei2023_01004.pdf |
| work_keys_str_mv | AT ashourmarwanabdulhameed intelligenthybridforecastingforiraqexports AT abbasrababalayham intelligenthybridforecastingforiraqexports |