P. Kennedy, Pruitt, J. Ross
Production agriculture is affected by seasonal production and demand cycles that are influenced by weather conditions as well as biological processes. These supply-and-demand conditions lead to seasonal price patterns. Seasonal price patterns repeat themselves because of the biological processes inherent in cow/calf production. Seasonality is also a result of the movement of cattle from cow/calf production to stocker operations and finally feedlots in the High Plains. Awareness of seasonal price patterns can improve production and marketing decisions made by producers.
Peel and Meyer define cattle price seasonality as the regular cattle price pattern occurring within a year. Price seasonality will differ by class of cattle sold, e.g. cow versus calf, and may vary within that class. Price seasonality is typically expressed as an index based on observed prices. Peel and Meyer suggest that prices should reflect an entire cattle cycle (see Anderson et al. for more information on cattle cycles). Producers in
A seasonal index of cattle prices is simply the price for a given month divided by the yearly average. This ratio may be multiplied by 100 to express the monthly index as a percentage. For example, an index of 1.04 (or 104) suggests the price for the month is 4 percent above the yearly average.
Seasonal price indices reflect normal price patterns that exist because of supply-and-demand factors. These factors include weather conditions, type of cattle being sold and consumer demand. Seasonal indices become more reliable as more historical price data are available. Changes in consumer purchasing habits or supply availability can affect seasonal patterns temporarily or permanently.
For example, figure 1 shows
Along with the average monthly price index for a class of cattle, standard deviations from the average monthly index are also calculated. The standard deviation is the average deviation from the mean and provides an indication of how reliable the average monthly price index is. The larger the deviation, the greater the price variability in a given month. The price range for a given month will typically be within one standard deviation of the average 68 percent of the time.
Use of seasonal indices also can be useful to project future prices if a stable cattle market exists (Peel and Meyer). To project future prices, the seasonal indices for the current month and the month when cattle will likely be sold are needed. To calculate the projected price for the future month:
The tables at the end of this report provide the seasonal index for
where the standard deviation is added to the index for the future month to find the upper value of the projected range and subtracted to find the lower end of the range. There is a 16 2/3 percent chance that prices will be higher (lower) than the upper (lower) value of the predicted price range.
Pricing information to generate the
Additional seasonal indices are provided for the five Market Area Fed Cattle Price, Oklahoma City Feeder Steers and Georgia Feeder Steers. The seasonal price index for the five Market Area reflects the slaughter areas of Texas/Oklahoma,
See PDF for tables
Anderson, D.P., J.G. Robb, and J. Mintert. 1996. The Cattle Cycle. Managing for Today’s Cattle Market and Beyond. Available at: http://www.lmic.info/memberspublic/pubframes.html. Accessed June 18, 2009.
Peel, D.S. and S. Meyer. 2002. Cattle Price Seasonality. Managing for Today’s Cattle Market and Beyond. Available at: http://www.lmic.info/memberspublic/pubframes.html. Accessed June 18, 2009.