The purpose of this study is to build monthly forecasting models for basis and volume of forward contracted cattle in the United States. It further assesses causalities among each other and weeks-to-expiration. Two approaches of model estimation were followed: vector autoregressive models for months with significant causalities and autoregressive models for months with insignificant causalities
This thesis is a comparative study of two kinds of forecasting models-the causal model and extrapola...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Unknown aggregate data series for the placement weight, growth rate, and sex composition of cattle p...
Master of ScienceDepartment of Agricultural EconomicsGlynn T. TonsorThe objective of this analysis i...
This paper reports on the development of autoregressive-integrated-moving-average (ARIMA) forecastin...
177 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.Econometric and time series f...
A newly developed model for the U.S. livestock industry provides quarterly forecasts of livestock pr...
As noted in a recent article by Harris [5], many on farms January 1 by state (early February). The a...
This paper analyses the dynamics underlying a time series of the monthly average beef cattle price r...
A set of rigorous diagnostic techniques is used to evaluate the forecasting performance of five mult...
The venereal diseases bovine trichomoniasis (BT) and bovine genital campylobacteriosis (BGC) cause e...
The USDA seven states Cattle on Feed report provides significant market information to all stages of...
<p>Based on the 2016 National Cattlemen's Beef Association statistics, the cattle inventory in the U...
Basis forecasts aid producers and consumers of agricultural commodities in price risk management. A ...
Multivariate time-series forecasts of weekly live cattle prices in six different geographic markets ...
This thesis is a comparative study of two kinds of forecasting models-the causal model and extrapola...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Unknown aggregate data series for the placement weight, growth rate, and sex composition of cattle p...
Master of ScienceDepartment of Agricultural EconomicsGlynn T. TonsorThe objective of this analysis i...
This paper reports on the development of autoregressive-integrated-moving-average (ARIMA) forecastin...
177 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.Econometric and time series f...
A newly developed model for the U.S. livestock industry provides quarterly forecasts of livestock pr...
As noted in a recent article by Harris [5], many on farms January 1 by state (early February). The a...
This paper analyses the dynamics underlying a time series of the monthly average beef cattle price r...
A set of rigorous diagnostic techniques is used to evaluate the forecasting performance of five mult...
The venereal diseases bovine trichomoniasis (BT) and bovine genital campylobacteriosis (BGC) cause e...
The USDA seven states Cattle on Feed report provides significant market information to all stages of...
<p>Based on the 2016 National Cattlemen's Beef Association statistics, the cattle inventory in the U...
Basis forecasts aid producers and consumers of agricultural commodities in price risk management. A ...
Multivariate time-series forecasts of weekly live cattle prices in six different geographic markets ...
This thesis is a comparative study of two kinds of forecasting models-the causal model and extrapola...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Unknown aggregate data series for the placement weight, growth rate, and sex composition of cattle p...