Abstract
In this paper various GARCH family models are examined to find the one best suited for modeling the conditional volatility of returns of soft commodity futures. The data came from the Chicago Mercantile Exchange (CME) and covered the period from 1987 to 2022. Three different commodities were selected, namely corn, soybeans and wheat. The most striking finding of this study is that there is not much difference between the models of conditional volatility for a given commodity and across the commodities under consideration. This demonstrates possible difficulties that one could face while trying to choose out of the competing parameterizations.
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