Given the relatively small industry scale of cow-calf operations in New York to other regions of the country, little is known about differences in determinant values for feeder cattle. Using auction prices and quality characteristics over 7 years, differences in market, lot, and quality parameters suggest opportunities for improved marketing performance. A delta profit model is constructed to inform timing of marketing decisions for producers. The results indicate a relatively high potential for producers to increase farm returns by delaying sales of lighter-weight feeder cattle from the fall to spring auction months, given sufficient rates of gain and reasonable overwintering costs.

Data from 1,422 feeder cattle teleauction lots were used to assess the impacts on profitability of the Virginia quality assured (VQA) feeder cattle program. The analysis finds higher profits for VQA cattle due to their faster turnover and lower feed costs; however, certification does not have a significant effect on price received by producers. The analysis further suggests that the cost associated with production under VQA should be considered in addition to price effects studied in previous literature.

A hedonic model was employed to examine factors impacting feeder cattle prices at a monthly video auction in Tennessee. Home-raised cattle were estimated to have a $2 per cwt. premium and cattle that have been tested for PI-BVDV (persistent infections with bovine viral diarrhea virus) sold for a premium of $1.19 per cwt. We also show how price varies across sale months for steers and heifers, suggesting opportune times to market gender-specific lots. Corn price was interacted with an average weight per head of the lot to show that lighter cattle were negatively affected, while heavier cattle prices were positively affected by increasing corn prices.

Basis forecasting is important for producers and consumers of agricultural commodities in their risk management decisions. However, the best performing forecasting model found in previous studies varies substantially. Given this inconsistency, we take a Bayesian approach, which addresses model uncertainty by combining forecasts from different models. Results show model performance differs by location and forecast horizon, but the forecast from the Bayesian approach often performs favorably. In some cases, however, the simple moving averages have lower forecast errors. Besides the nearby basis, we also examine basis in a specific month and find that regression-based models outperform others in longer horizons.

This paper compares hedging risk for various weights of feeder cattle hedged with a traditional cross hedge and a ratio cross hedge. A traditional hedge calls for the purchase/sale of one pound of futures for each pound of cash feeder cattle. By contrast, a ratio hedge requires estimation of a hedge ratio to determine the number of pounds of futures needed to hedge one pound of cash feeder cattle. Hedge ratios were found to be larger than 1.0 for light-weight feeder cattle. By using the estimated hedge ratios, it was shown that hedging risk could be reduced 20-50 percent compared to that achieved by using a hedge ratio of 1.0.

Three Georgia feeder cattle teleauction markets were analyzed from 1977 to 1988 to estimate the impacts of cattle characteristics and market conditions on prices. Cattle characteristic price impacts were similar to those in previous studies. The impact of feeder cattle futures price on teleauction price was positive but varied across markets. Optimal lot size ranged from 143 to 276 head. In one market, 14 lots were necessary to generate positive price impacts. Additional buyers were estimated to have a $.30/cwt per buyer impact on price.

Contract grazing feeder cattle is an arrangement where cattle owned by one party graze forage produced on land owned by another party. The forage producer is paid a fixed price per pound gained. Stochastic dominance analysis is used to compare contract grazing and the more traditional system in which the same individual owns both the cattle and land.

A feeder-calf price model is estimated which incorporates elements of break-even budget analysis, including estimates of placement weights, slaughter weights, ration cost, and feed-conversion rates. From this model, a corn price multiplier is calculated which quantifies the corn/feeder-calf price relationship. Because the multiplier includes information on cattle weight, feed conversion, and ration cost, it also provides insight into how feeding programs are altered in response to corn price changes. Changes in feeding programs which occur in response to corn price changes are illustrated with dynamic simulation based on weight, ration cost, and price models presented here.

In this study, we used farm-level data from a university feed-out program to evaluate how the value of feeder cattle ultimately realized through finishing and grid pricing differs from their market value at public auction. Consistent with the theory of factor price disparity, results indicate that significant risk premiums exist in the feeder cattle market. Producers of cattle with known feedlot performance, carcass potential, or both might be better off retaining ownership of their calves or marketing them in a way that communicates the information that is known about their potential performance directly to the buyer.

The decision to overwinter feeder cattle hinges directly on the forecast of spring cattle prices. An analysis of price forecasts from several alternative models is presented. The models are evaluated using both the traditional mean square criterion and alternative criteria. The alternative criteria evaluate the profitability of the decision implemented based upon the forecast.

Preconditioning calf programs, while not new, are becoming more prevalent. They provide benefits to cow-calf producers while adding value for feeder cattle buyers. However, questions remain regarding the economic costs and returns of such programs. A model was estimated with data from three consecutive-day sales, to determine the value that buyers place on preconditioning programs and related feeder cattle traits. Our results indicate that price premiums, although evident, appear to be insufficient by themselves to cover the marginal costs of preconditioning.