SHORT-RUN FORECASTING MODELS OF BEEF PRICES

This paper reports on the development of autoregressive-integrated-moving-average (ARIMA) forecasting models for selected cattle price series and the nearby live cattle futures price. The ARIMA models are fitted to weekly data by employing the Box-Jenkins time series modeling procedure. Relatively accurate short-run forecasts are obtained with the estimated models, with the Midwest price models performing better than Northwest price models, and the nearby futures model being considerably more accurate for longer forecasting horizons.


Issue Date:
1979-07
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/32434
Published in:
Western Journal of Agricultural Economics, Volume 04, Number 1
Page range:
45-56
Total Pages:
12




 Record created 2017-04-01, last modified 2017-08-24

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