Issue |
SHS Web Conf.
Volume 170, 2023
2023 International Conference on Digital Economy and Management Science (CDEMS 2023)
|
|
---|---|---|
Article Number | 03007 | |
Number of page(s) | 6 | |
Section | Enterprise Operation and Human Resource Management | |
DOI | https://doi.org/10.1051/shsconf/202317003007 | |
Published online | 14 June 2023 |
Research on the Impact of El Nino Phenomenon on the Volatility of the U.S. Soybean Futures Price Yield
Cardiff University
Frequent occurrences of the EI-Nino phenomenon have made the influence of ENSO on the commodity market a hot research topic. To further investigate the connection between climate change and commodities markets and to offer a benchmark for future economic growth This study focuses on the impact of El Nio on the futures price yield of U.S. soybeans to give a new research direction for academics and investors. This research employs the GARCH-Mean model to estimate returns, then applies the event study approach and parametric tests to see whether there are significant differences in the futures price yield for U.S. soybeans. Test results indicate that EI Nino events have not had a substantial impact on the yield of U.S. soybean futures prices during the recent EI Nino phenomenon. This conclusion indicates that climate change may not be the primary factor influencing the future price of U.S. soybeans, and researchers must consider other factors. In addition, as a result of technological advancement, the government may predict that investors had already prepared for the volatility of the commodity market.
© The Authors, published by EDP Sciences, 2023
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.