Short-term Hog Price and Pork Supply Forecasting Models PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Short-term Hog Price and Pork Supply Forecasting Models PDF full book. Access full book title Short-term Hog Price and Pork Supply Forecasting Models by Wayne Umberger. Download full books in PDF and EPUB format.
Author: Wayne Umberger
Publisher:
ISBN:
Category : Pork industry and trade
Languages : en
Pages : 116
Get Book Here
Book Description
Author: Wayne Umberger
Publisher:
ISBN:
Category : Pork industry and trade
Languages : en
Pages : 116
Get Book Here
Book Description
Author: Kenneth A. Zielinski
Publisher:
ISBN:
Category : Swine
Languages : en
Pages : 192
Get Book Here
Book Description
Author: Richard J. Foote
Publisher:
ISBN:
Category : Pork industry and trade
Languages : en
Pages : 258
Get Book Here
Book Description
Author: Daniel Philip Klein
Publisher:
ISBN:
Category :
Languages : en
Pages : 170
Get Book Here
Book Description
Author: Karl S. Wright
Publisher:
ISBN:
Category : Pork industry and trade
Languages : en
Pages : 354
Get Book Here
Book Description
Author: Karl S. Wright
Publisher:
ISBN:
Category : Agricultural prices
Languages : en
Pages : 194
Get Book Here
Book Description
Author: Shakib Mbabaali
Publisher:
ISBN:
Category :
Languages : en
Pages : 204
Get Book Here
Book Description
The Manitoba hog industry operates under uncertain and changing circumstances. Manitoba Department of Agriculture cites some of the factors responsible for the uncertain and changing environment. Such factors include high costs of new facilities, rising energy costs, variable prices for feed grains and protein supplements, and uncertainties about future hog market prices. The research reported in this study concentrates on the uncertainties about future hog market prices by identifying the factors responsible for hog price fluctuations both on a weekly and monthly basis. The identified factors are used to generate knowledge about future hog market prices by using univariate time series, econometric and compsite models as forecasting toos. The forecasts generated using those models are evaluated against the naive or no change model for their quantitative and qualitative forecasting performance. Evaluation measures used include Mean Squared Error, Mean Absolute Percentage Error and Theil's U1 inequality coefficient for quantitative evaluation. The qualitative evaluation measures include the Naik and Leuthold 4 x 4 contingency table method and the Henriksson-Merton probability-based method. Under certain circumstances the Naik and Leuthold 4 x 4 contingency table method is shown to be inappropriate and a 9 x 9 contingency table is suggested. Overall, the models developed do not perform very well quantitatively but the univariate time series model performs well at predicting turning points. The study demonstrates how producers could benefit from the turning point information generated by the univariate times series model. Keywords: forcasting, time series, econometric model, composite model, naive model, quantitiative forecast evaluation, qualitative forecast evaluation.
Author: Oris Vernon Wells
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 60
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 64
Get Book Here
Book Description
Author: Arthur A. Harlow
Publisher:
ISBN:
Category : Swine
Languages : en
Pages : 92
Get Book Here
Book Description
