The volatility of agricultural markets has increased remarkably in recent years. In spite of this, the way in which supply chain actors perceive market volatility has only rarely been analyzed. This paper seeks to close this research gap by presenting empirical findings about how the volatility...

We theoretically examine a farmer’s coverage demand with area and individual insurance plans as either separate or integrated options. The individual and area losses are assumed to be imperfectly and positively correlated. With actuarially fair rates, the farmer will fully insure with the...

We study the difference in the volatility dynamics of CBOT corn, soybeans, and oatsfutures prices across different delivery horizons via the smoothed Bayesian estimatorof Karali, Dorfman, and Thurman (2010). We show that the futures price volatilitiesin these markets are affected by the...

Taken together, studies that examine how well commodity futures marketsperform find that risk premiums are common—and so unbiasedness is not—and marketsare not uniformly efficient across commodities or forecast horizons. This large body ofresearch sheds important light on whether and to what...

Futures prices when combined with a basis forecast provide a reliable way to forecast cashprices. The most popular method of forecasting basis is historical moving averages. Given therecent failure of longer moving averages proposed by previous studies, this research reassessespast...

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Agriculture has always been exposed to a wide spectrum of risks. But it is largely undisputed that farmers have faced growing risks in recent years. More volatile agricultural and input prices, climate change, ongoing discussions about the future of the Common Agricultural Policy, increasing...