Testing for constant hedge ratios in commodity markets: a multivariate GARCH approach

Date
2002-12-01
Authors
Moschini, Giancarlo
Myers, Robert
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Altmetrics
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Research Projects
Organizational Units
Economics
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Abstract

We develop a new multivariate generalized ARCH (GARCH) parameterization suitable for testing the hypothesis that the optimal futures hedge ratio is constant over time, given that the joint distribution of cash and futures prices is characterized by autoregressive conditional heteroskedasticity (ARCH). The advantage of the new parameterization is that it allows for a flexible form of time-varying volatility, even under the null of a constant hedge ratio. The model is estimated using weekly corn prices. Statistical tests reject the null hypothesis of a constant hedge ratio and also reject the null that time variation in optimal hedge ratios can be explained solely by deterministic seasonality and time to maturity effects.

Description

This is a working paper of an article from Journal of Empirical Finance 9 (2002): 589, doi: 10.1016/S0927-5398(02)00012-9.

Keywords
Autoregressive conditional heteroskeclasticity, Futures, Hedging, Hypothesis testing
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