AbstractA generalized approach to estimating optimal hedge ratios on futures markets is developed. The generalized approach is not difficult to apply and provides a framework for evaluating the appropriateness of conventional simple regression approaches to optimal hedge ratio estimation. In an application to storage hedging of corn, soybeans, and wheat, it is found that simple regression using price levels or returns leads to errors in optimal hedge ratio estimation but that simple regression using price changes provides reasonably accurate estimates.