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Th e purpose of the study is to analyse the short and long-term relationships between the world oil prices (Europe Brent Spot Price and West Texas Intermediate Spot Price) and the agricultural commo...
The paper examines the price volatility spillovers among the crude oil, soybeans, corn, wheat, and sugar futures markets over the period 1/1/2006–11/29/2013. We separately investigate the periods of t...
In the world of increasing price volatility, it is more important than ever to understand how to manage the price risk. The paper deals with the price risk management issues associated with commoditie...
This paper develops a model to analyze information aggregation in commodity markets. Through centralized trading, commodity prices aggregate dispersed information about the strength of the global eco...
Domestic factors, such as biofuel demand and weather, have increased the demand for crops, resulting in an increase in corn prices, as well as price volatility.
We develop an idea from Arthur Lewis’ paper on unlimited supplies of labor to model the longrun behavior of the prices of primary commodity produced by poor countries. Commodity supply is assumed inf...
Commodity Prices and Growth in Africa。
Estimating the Commodity Price Model。
Fair Trade is one of the leading systems of the Corporate Social Responsibility and a price stabilization mechanism for producers in developing countries. It is being practiced by more and more Czech ...
This study investigates the effect of the exchange rate volatility and the real exchange rate on the bilateral agricultural exports flows of Turkey to 46 countries. A panel data set, which contains 46...
This paper studies subordinate Ornstein-Uhlenbeck (OU) processes, i.e., OU diffusions time changed by L\'{e}vy subordinators. We construct their sample path decomposition, show that they possess mean-...
The article brings out the findings about economic efficiency of agriculture and its commodity sectors after the accession of Slovakia into the EU. The adoption of the CAP had a positive impact on the...
To capture the volatility in the global food commodity prices, we employed two competing models, the thin tailed the normal distribution, and the fat-tailed Student t-distribution models. Results base...
The article is focused on the evaluation of economic differentiation of subjects on particular processing stages within the wheat commodity chain in the Czech Republic with regard to agro-food market ...
This paper presents a model based on multilayer feedforward neural network to forecast crude oil spot price direction in the short-term, up to three days ahead. A great deal of attention was paid on ...

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