Testing for Constant Hedge Ratios in Commodity Markets: A Multivariate Garch Approach
AbstractThe authors develop a new multivariate GARCH parameterization that is 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. 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.
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Bibliographic InfoPaper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 1945.
Date of creation: 01 Dec 2002
Date of revision:
Publication status: Published in Journal of Empirical Finance, December 2002, vol. 9 no. 5, pp. 589-603
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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
Web page: http://www.econ.iastate.edu
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Other versions of this item:
- Moschini, GianCarlo & Myers, Robert J., 2002. "Testing for constant hedge ratios in commodity markets: a multivariate GARCH approach," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 589-603, December.
- GianCarlo Moschini & Robert J. Myers, 2001. "Testing for Constant Hedge Ratios in Commodity Markets: A Multivariate GARCH Approach," Center for Agricultural and Rural Development (CARD) Publications 01-wp268, Center for Agricultural and Rural Development (CARD) at Iowa State University.
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