caa a22 4500 386316716 CHVBK 20180307111607.0 cr unu---uuuuu 161130e198812 xx s 000 0 eng 10.1017/S0081305200017611 doi S0081305200017611 pii (NATIONALLICENCE)cambridge-10.1017/S0081305200017611 Forecasting Agricultural Prices Using a Bayesian Composite Approach [Elektronische Daten] [Christopher S. McIntosh, David A. Bessler] Forecast users and market analysts need quality forecast information to improve their decision-making abilities. When more than one forecast is available, the analyst can improve forecast accuracy by using a composite forecast. One of several approaches to forming composite forecasts is a Bayesian approach using matrix beta priors. This paper explains the matrix beta approach and applies it to three individual forecasts of U.S. hog prices. The Bayesian composite forecast is evaluated relative to composites made from simple averages, restricted least squares, and an adaptive weighting technique. Copyright © Southern Agricultural Economics Association 1988 composite forecasting nationallicence Bayesian nationallicence matrix beta nationallicence outperformance nationallicence McIntosh Christopher S. Agricultural Economics at the University of Georgia aut Bessler David A. Agricultural Economics at Texas A&M University aut Southern Journal of Agricultural Economics Cambridge University Press 20/2(1988-12), 73-80 0081-3052 20:2<73 1988 20 AAE https://doi.org/10.1017/S0081305200017611 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1017/S0081305200017611 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- McIntosh Christopher S. Agricultural Economics at the University of Georgia aut NATIONALLICENCE 700 1- Bessler David A. Agricultural Economics at Texas A&M University aut NATIONALLICENCE 773 0- Southern Journal of Agricultural Economics Cambridge University Press 20/2(1988-12), 73-80 0081-3052 20:2<73 1988 20 AAE CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-cambridge