Abstract
Based on prices of four commodities a fourier series was develop to predict prices. The foods are wheat, rice, sugar, canola oil. At the first attempt the for the chosen parameters were - gold price, brand crude, sensex and steel. It was found that the propose model predicts is able to predict average annual prices of the for mentioned essential commodities with a confidence level of over 80 %. The model was tested on data available from the united nation of four countries - Mexico, India, Japan and Australia.
Details
Presentation Type
Theme
Food Production and Sustainability
KEYWORDS
CLIMATE, FOOD, REGRESSION, HEURISTIC
