Agricultural risk managers need forecasts of price volatility that are accurate and meaningful. This is especially true given the greater emphasis on firm level risk measurement and management (e.g., Value-at-Risk and Enterprise Risk Management). Implied volatility is known to provide a readily...

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...

One step-ahead forecasts of quarterly live cattle, live hog, and broiler prices are evaluated under two general approaches: accuracy-based measures and the ability to categorize price movements directionally or within a forecasted range. Results suggest USDA price forecasts are not optimal....

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...

Cash forward contracting is a common, and often preferred, means of managing price risk for agribusinesses. Despite this, little is known about the performance of cash forward markets, in particular the role they play in price discovery. The lumber market provides a unique case for examining...

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...

This research presents an intuitive interpretation and expression for pricing cash settled futures contracts. In particular, the choice of the averaging period for the underlying cash index is evaluated. For example, the averaging period for the Lean Hog futures contract is two days, whereas it...

In traditional tests of forecast rationality, price forecasts are usually differenced to obtain stationarity. However, this data transformation may ignore important long-run information contained in forecasted price levels. Here, the concept of forecast consistency is paired with rationality...

USDA livestock production forecasts are evaluated for information across multiple horizons using the direct test developed by Vuchelen and Gutierrez. Forecasts are explicitly tested for rationality (unbiased and efficient) as well as for incremental information out to three quarters ahead. The...

This paper examines USDA one-step ahead forecasts of quarterly beef, pork, and poultry production. The forecasts are evaluated based on traditional criteria for optimality-efficiency and unbiasedness-as well as their performance versus an univariate time series model. The results suggest that...