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Predicting CBOT Corn Futures Prices by applying ML methods on Weather Data

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  • Singh, Sriramjee

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  • Singh, Sriramjee, 2020. "Predicting CBOT Corn Futures Prices by applying ML methods on Weather Data," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304595, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea20:304595
    DOI: 10.22004/ag.econ.304595
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    References listed on IDEAS

    as
    1. Siddhivinayak Kulkarni & Imad Haidar, 2009. "Forecasting Model for Crude Oil Price Using Artificial Neural Networks and Commodity Futures Prices," Papers 0906.4838, arXiv.org.
    2. Taewook Kim & Ha Young Kim, 2019. "Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-23, February.
    3. Lu, Jing & Chou, Robin K., 2012. "Does the weather have impacts on returns and trading activities in order-driven stock markets? Evidence from China," Journal of Empirical Finance, Elsevier, vol. 19(1), pages 79-93.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Research Methods/Statistical Methods; Agribusiness; Marketing;
    All these keywords.

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