determination of feasible commodities for futures trading(a study of iranian agricultural commodities)

Term Structure of Commodities Futures

The development of risk management methodologies for non-gaussian markets relies often on the assumption that the underlying market factors have a gaussian distribution. While advances have been made in the modeling of more general marginal distributions of the risk factors, the modeling of non-gaussian dependence structures is much less advanced. For commodities markets that often exhibit sudd...

PPP May not Hold for Agricultural Commodities

We use the well known USDA dataset of real exchange rates to address the question of whether PPP holds for agricultural commodities. Both unit root tests and the recently proposed more powerful class of panel unit root tests, which take into account cross-section correlation across the units in the panel, are used. Properties of unit roots and panel tests are analyzed by Monte Carlo simulation....

Detoxification of Aflatoxin - Contaminated Agricultural Commodities

Aflatoxin-contaminated commodities can be detoxified by a variety of methods based to some extent on economics and the physical and chemical characteristics of the substance being treated. Electronic and hand sorting of peanuts with ammoniation of contaminated oilseed meals and corn currently appears to offer the most promise. Microbiological decontamination appears to be the least feasible met...

Optimal trading and shipping of agricultural commodities

We develop and implement a model for a profit maximizing firm that provides an intermediation service between commodity producers and commodity end-users distributed over a realistic spatial network. Producers and end-users trade with the firm through contracts for delivery of grain during the marketing season. The firm begins the marketing season with a portfolio of prearranged purchase and sa...

A test of the efficiency of futures markets in commodities

Development of an Expert System for Agricultural Commodities

An Expert System is a system that employs human knowledge captured in a computer to solve problems that ordinarily require human expertise. In agriculture, expert systems unite the accumulated expertise of individual disciplines, such as plant pathology, entomology, horticulture and agricultural meteorology and Animal Sciences; into a framework that best addresses the specific, on-site needs of...