Composite Qualitative Forecasting of Futures Prices: Using One Commodity to Help Forecast Another

Anzhi Li and Jeffrey Dorfman ()

No 169790, 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota from Agricultural and Applied Economics Association

Abstract: Managers of businesses that involve agricultural commodities need price forecasts in order to manage the risk in either the sale or purchase of agricultural commodities. Sometimes the most important forecasting component is simply whether the price will move up or down. Such binary forecasts are commonly referred to as qualitative forecasts. This paper examines whether qualitative forecasting of commodity prices can be improved by the inclusion within the model specification of price forecasts for other commodities. We use hog prices as a test case and find strong support for the inclusion of other commodity price forecasts in the best forecasting models. Unfortunately, the out-of-sample performance of these models is mixed at best. Still, the results suggest qualitative forecasts can be improved through the inclusion of other commodity price forecasts in our models.

Keywords: Agribusiness; Demand and Price Analysis; Research Methods/ Statistical Methods (search for similar items in EconPapers)
Pages: 14
Date: 2014
New Economics Papers: this item is included in nep-agr and nep-for
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea14:169790

DOI: 10.22004/ag.econ.169790

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