California specialty crop growers are exposed to extreme price volatility, as well as considerable yield volatility caused by fluctuations in temperature, precipitation, and other specific weather events. Weather derivatives do provide a promising market-based solution to managing risks for...

A battery of time series methods are compared for forecasting basis levels in the soybean futures complex: soybeans, soybean meal, and soybean oil. Specifically, nearby basis forecasts are generated with exponential smoothing techniques, autoregression moving average (ARMA), and vector...

The informational content in live cattle and hog deferred futures prices is assessed using a direct test of incremental forecast ability for two- to twelve-month horizons. For 1976-2007, the results indicate that hog futures prices add incremental information at all horizons, but unique...

Accurate pricing of weather derivatives is critically dependent upon correct specification of the underlying weather process. We test among six likely alternative processes using maximum likelihood methods and data from the Fresno, CA weather station. Using these data, we find that the best...

Existing derivative pricing methods cannot be used to price weather derivatives due to the absence of a hedgeable commodity underlying weather risk and the complexity of weather processes. This study develops a pricing model that considers weather derivatives to be the same as any other...

California specialty crop growers are exposed to extreme price volatility, as well as considerable yield volatility caused by fluctuations in temperature, precipitation, and other specific weather events. Weather derivatives do provide a promising market-based solution to managing risks for...

Agricultural cooperatives tend to be riskier than investor-oriented firms, both in a business and financial sense. However, cooperative managers are often reluctant to actively manage risk. Although the “risk management irrelevance proposition” suggests that cooperative managers should be...

Revenue insurance represents an important new risk management tool for agricultural producers. While there are many farm-level products, Group Risk Income Protection (GRIP) is an area-based alternative. Insurers set premium rates for GRIP on the assumption of a continuous revenue distribution,...

VaR gives a prediction of potential portfolio losses, with a certain level of confidence, that may be encountered over a specified time period due to adverse price movements in the portfolio's assets. For example, a VaR of 1 million dollars at the 95% level of confidence implies that overall...

Invasive insect species cause billions of dollars of direct and indirect damage to U.S. crops each year. The market for insuring insect damage is, however, far from complete. The objective of this study is to design and value insect derivatives, or "bug options," which would offer growers a...