The Impact of Risk Management on Commodity Pricing and Modeling – A Case Study of Wheat
##plugins.themes.bootstrap3.article.main##
Abstract
Commodities are subject to various risks. There is a seasonal factor, storage risks, supply and demand for the commodity. Commodities are frequently traded in financial markets and can be traded immediately or their derivatives traded in the financial market. The most common types of traded commodities are agricultural commodities, metals, and energy products. Market risk management is common in most companies around the world, but the focus is usually around risk management of price risks, quantity risks, cost risks, and regulatory risks.
In order to model commodity prices, descriptive analysis was used to estimate future commodity prices, and the components can be combined with criteria of central tendency and their relationship with time.
The research found that risk management of all types - prices, quantity, cost, and regulation - has a significant impact on determining the price of wheat in commodity markets, and it has an impact on the time frame.
##plugins.themes.bootstrap3.article.details##
commodity risk management, commodity pricing, commodity modeling, cos

This work is licensed under a Creative Commons Attribution 4.0 International License.
JSS publishes Open Access articles under the Creative Commons Attribution (CC BY) license. If author(s) submit their article for consideration by JSS, they agree to have the CC BY license applied to their work, which means that it may be reused in any form provided that the author (s) and the journal are properly cited. Under this license, author(s) also preserve the right of reusing the content of their article provided that they cite the JSS.