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Multiperiod optimal hedging ratios: methodological aspects and application to a wheat market

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  • Gianluca Stefani
  • Marco Tiberti

Abstract

This work deals with issues relating to multiperiod hedging ratios (MHRs). First, we derive an analytical formula for the MHR starting from the triangular representation of a cointegrated system. Second, using both overlapping and non-overlapping price changes, we investigate the properties of OLS MHR. Third, we resort to simulated data to investigate the performance of MHR estimators. Unlike previous studies, we do not use real data whose data generating process is unknown; instead we run a Monte Carlo exercise to investigate estimators and compare them with theoretical measures. Finally, we apply our approach to real data for a hedging related to soft wheat.

Suggested Citation

  • Gianluca Stefani & Marco Tiberti, 2016. "Multiperiod optimal hedging ratios: methodological aspects and application to a wheat market," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(3), pages 503-531.
    • Handle: RePEc:oup:erevae:v:43:y:2016:i:3:p:503-531.
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    File URL: http://hdl.handle.net/10.1093/erae/jbv022
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    1. Hansen, Lars Peter & Hodrick, Robert J, 1980. "Forward Exchange Rates as Optimal Predictors of Future Spot Rates: An Econometric Analysis," Journal of Political Economy, University of Chicago Press, vol. 88(5), pages 829-853, October.
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    5. Lien, Donald, 2005. "The use and abuse of the hedging effectiveness measure," International Review of Financial Analysis, Elsevier, vol. 14(2), pages 277-282.
    6. Phillips, Peter C.B. & Dolado, Juan J. & Boswijk, H. Peter, 1991. "Optimal Structural Estimation of Triangular Systems: II. The Nonstationary Case," Econometric Theory, Cambridge University Press, vol. 7(04), pages 549-558, December.
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    Cited by:

    1. Huang, Jinbo & Ding, Ashley & Li, Yong & Lu, Dong, 2020. "Increasing the risk management effectiveness from higher accuracy: A novel non-parametric method," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).

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