Many cattle producers and producer organizations are concerned that the live cattle negotiated market has become too thin. The percentage of live cattle procured through direct negotiations has declined below 20%, while the percentage procured through formulas has increased to more than 60%. Most formulas are based on directly negotiated cattle prices. Proposed legislation mandating that a larger percentage of live cattle be procured through negotiations represents a market intervention. We show that live cattle futures prices are good proxies for negotiated cash prices, while being less restrictive for meeting proposed cash cattle procurement percentage requirements.

Vector autoregression was utilized to investigate dynamic relationships existing between prices of purebred bulls and prices of slaughter steers, utility cows, feeder calves, and cow-calf pairs. Results suggest purebred bull prices respond most quickly to an increase in utility cow prices (proxy for slaughter bull prices). Feeder calf prices exhibited the most pronounced positive effect on the price of herd sires, with a lagged response which took over two years to build.

Cattle producers and beef packers need to understand basis determinants as they develop price expectations and make pricing, hedging, and forward contracting decisions. This study empirically estimated factors explaining variability in monthly fed cattle basis. The five main results regarding live cattle basis are 1) corn price is an important determinant, 2) a change in the value of the Choice-to-Select spread positively affects basis, 3) changes in the levels of captive supplies have no significant statistical or economic impact on basis, 4) the June 1995 live cattle futures contract did not impact basis, and 5) both market fundamentals and seasonal components are important basis determinants.

Recent empirical research and developments in the cattle industry suggest several reasons to suspect structural change in economic relationships determining cattle prices. Standard forecasting models may ignore structural change and may produce biased and misleading forecasts. Vector autoregressive (VAR) models that allow parameters to vary with time are used to forecast quarterly cattle prices. The VAR procedures are flexible in that they allow the identification of structural change that begins at an a priori unknown point and occurs gradually. The results indicate that the lowest RMSE for out-of-sample forecasts of cattle prices is obtained using a gradually switching VAR model. However, differences between the gradually switching VAR model and a univariate ARIMA model are not strongly significant. Impulse response functions indicate that adjustments of cattle prices to new information have become faster in recent years.

Delineation of geographic markets for fed cattle is essential in monitoring price behavior and determining geographic markets. This study uses transactions data from 28 U.S. fed cattle slaughter plants to determine the extent of the geographic market for fed cattle. Results indicate a national market for fed cattle with prices across most plants cointegrated. In addition, price discovery originates predominantly at plants located in Nebraska, and typically one-third of the total price adjustment to spatial integration occurs in one day.

Monthly observations on prices from 10 weight/gender classifications of Nebraska beef cattle are studied in an error correction model (ECM) framework. This study attempts a replication of the 2003 paper on Texas prices by Bessler and Davis, where they find medium heifers (600-700 1b) at the center of price discovery. Using the ECM results Nebraska light steers are found to be weakly exogenous, with the innovation accounting results showing marked differences. Industry structure, production choices, and animal type and breeding herd differences between Texas and Nebraska are proposed as plausible reasons for partial (or incomplete) success at replication.