This study investigates the predictability of outlook hog price forecasts released by Iowa State University relative to alternative market and time-series forecasts. The findings suggest that predictive performance of the outlook hog price forecasts can be improved substantially. Under RMSE,...

This paper investigates whether the accuracy of outlook hog price forecasts can be improved using composite forecasts in an out-of-sample context. Price forecasts from four wellrecognized outlook programs are combined with futures-based forecasts, ARIMA, and unrestricted Vector Autoregressive...

This paper investigates whether the accuracy of outlook hog price forecasts can be improved using composite forecasts in an out-of-sample context. Price forecasts from four widely-recognized outlook programs are combined with futures-based forecasts, ARMA, and unrestricted Vector Autoregressive...

This paper investigates whether the accuracy of outlook hog price forecasts can be improvedusing composite forecasts in an out-of-sample context. Price forecasts from four wellrecognizedoutlook programs are combined with futures-based forecasts, ARIMA, andunrestricted Vector Autoregressive (VAR)...

The accuracy of hog and cattle price forecasts from four outlook programs is compared with forecasts derived from futures markets. Most of the series begin in the mid to late 1970s and end in 2007. Root mean squared error (RMSE) comparisons indicate the difference between outlook and futures...

The purpose of this paper is to provide a comprehensive evaluation of the accuracy of outlookforecasts relative to futures prices in hog and cattle markets. Published forecasts from fourprominent livestock outlook programs are available for analysis. Most of the series begin in themid- to...

The purpose of this paper is to provide a comprehensive evaluation of the accuracy of outlook forecasts relative to futures prices in hog and cattle markets. Published forecasts from four prominent livestock outlook programs are available for analysis. Most of the series begin in the mid- to...