This aim of this paper is to analyse possibilities and potential effects of soft commodity derivative market on the development of risk management practice within the CEE. Agricultural producers and other participants in the soft commodity market in CEE are lacking local commodity market. As a...

The paper seeks to answer the question of how price forecasting can contribute to which techniques gives the most accurate results in the futures commodity market. A total of two families of models (decision trees, artificial intelligence) were used to produce estimates for 2018 and 2022 for 21-...

Commodity markets present several challenges for quantitative modeling. These include high volatilities, small sample data sets, and physical, operational complexity. In addition, the set of traded products in commodity markets is more limited than in financial or equity markets, making value...