@article{Franken:285862,
      recid = {285862},
      author = {Franken, Jason and Parcell, Joe},
      title = {Forecasting Quality Grade and Certified Angus Beef  Premiums},
      address = {2016-04},
      series = {NCCC-134 Applied Commodity Price Analysis, Forecasting,  and Market Risk Management},
      year = {2016},
      abstract = {We evaluate the mean squared error and mean absolute  percentage error of alternative forecasts of quality grade  and Certified Angus Beef (CAB) premiums, which may be of  interest to cow-calf producers, feeders, and packers. A  supply and demand model and a vector autoregressive model  outperform a naïve model accounting for only seasonal  effects for all premiums except the strongly seasonal  Choice-Select spread. While there is no significant  difference between the supply and demand model and the  vector autoregressive model in terms of mean squared error,  the supply and demand model outperforms the vector  autoregressive model in terms of mean absolute percentage  error in predicting the CAB-Choice premium.},
      url = {http://ageconsearch.umn.edu/record/285862},
      doi = {https://doi.org/10.22004/ag.econ.285862},
}