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| Autor principal: | |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2510.10877 |
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| _version_ | 1866917512876130304 |
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| author | Patel, Mridul |
| author_facet | Patel, Mridul |
| contents | The imposition of tariffs by President Trump during his second term had far-reaching consequences for global markets, including Australia. This study investigates how both the announcement and subsequent implementation of these tariffs, specifically on 02-Apr-2025, affected the Australian stock market, focusing on the S\&P/ASX 200 index over the period from 21-Jan-2025 to 25-Jul-2025. To accurately capture the significance and behavior of market fluctuations, the exploratory data analysis (EDA) techniques are applied. Furthermore, the impact of tariffs on stock performance is evaluated using machine learning-based regression models. A comparative assessment of these models is conducted to determine their predictive accuracy and robustness in capturing tariff-related market responses. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_10877 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | USA Tariffs Effect: Machine Learning Insights into the Stock Market Patel, Mridul Numerical Analysis The imposition of tariffs by President Trump during his second term had far-reaching consequences for global markets, including Australia. This study investigates how both the announcement and subsequent implementation of these tariffs, specifically on 02-Apr-2025, affected the Australian stock market, focusing on the S\&P/ASX 200 index over the period from 21-Jan-2025 to 25-Jul-2025. To accurately capture the significance and behavior of market fluctuations, the exploratory data analysis (EDA) techniques are applied. Furthermore, the impact of tariffs on stock performance is evaluated using machine learning-based regression models. A comparative assessment of these models is conducted to determine their predictive accuracy and robustness in capturing tariff-related market responses. |
| title | USA Tariffs Effect: Machine Learning Insights into the Stock Market |
| topic | Numerical Analysis |
| url | https://arxiv.org/abs/2510.10877 |