Textbook Estimators of Multiperiod Optimal Hedging Ratios: Methodological Aspects and Application to the European Wheat Market
This work deals with methodological and empirical issues related to multiperiod optimal hedging OLS estimators. We propose an analytical formula for the multiperiod minimum variance hedging ratio starting from the triangular representation of a cointegrated system DGP. Since estimating the hedge ratio matching the frequency of data with the hedging horizon leads to a sample size reduction problem, we carry out a Monte Carlo study to investigate the pattern and hedging efficiency of OLS hedging ratio based on overlapping vs non-overlapping observations exploring a range of hedging horizons and sample sizes. Finally, we applied our approach to real data for a cross hedging related to soft wheat.
|Date of creation:||2013|
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- Revoredo-Giha, Cesar & Zuppiroli, Marco, 0.
"Commodity futures markets: are they an effective price risk management tool for the European wheat supply chain?,"
Bio-based and Applied Economics Journal,
Italian Association of Agricultural and Applied Economics (AIEAA), issue 3.
- Revoredo-Giha, C. & Zuppiroli, M., 2013. "Commodity futures markets: are they an effective price risk management tool for the European wheat supply chain ?," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149773, Italian Association of Agricultural and Applied Economics (AIEAA).
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- A. G. Malliaris & Jorge L. Urrutia, 1991. "The impact of the lengths of estimation periods and hedging horizons on the effectiveness of a Hedge: Evidence from foreign currency futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(3), pages 271-289, 06.
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