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Optimal Hedge Ratios at the Winnipeg Commodity Exchange

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  • Peter S. Sephton

Abstract

Multivariate GARCH models are employed to estimate time-varying hedge ratios for three commodities traded on the Winnip eg Commodity Exchange. GARCH hedge ratios are shown to be superior to those based on the traditional regression approach to calculating th e optimal hedge.

Suggested Citation

  • Peter S. Sephton, 1993. "Optimal Hedge Ratios at the Winnipeg Commodity Exchange," Canadian Journal of Economics, Canadian Economics Association, vol. 26(1), pages 175-193, February.
    • Handle: RePEc:cje:issued:v:26:y:1993:i:1:p:175-93
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    Citations

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    Cited by:

    1. Michael S. Haigh & Matthew T. Holt, 2002. "Combining time-varying and dynamic multi-period optimal hedging models," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 29(4), pages 471-500, December.
    2. Chen, Sheng-Syan & Lee, Cheng-few & Shrestha, Keshab, 2003. "Futures hedge ratios: a review," The Quarterly Review of Economics and Finance, Elsevier, vol. 43(3), pages 433-465.
    3. P. J. Dawson & A. L. Tiffin & B. White, 2000. "Optimal Hedging Ratios for Wheat and Barley at the LIFFE: A GARCH Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(2), pages 147-161, May.
    4. David Watt, 1997. "Canadian Short-Term Interest Rates and the BAX Futures Markets: An Analysis of the Impact of Volatility on Hedging Activity and the Correlation of Returns Between Markets," Staff Working Papers 97-18, Bank of Canada.
    5. Bessler, Wolfgang & Leonhardt, Alexander & Wolff, Dominik, 2016. "Analyzing hedging strategies for fixed income portfolios: A Bayesian approach for model selection," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 239-256.
    6. Bessler, Wolfgang & Wolff, Dominik, 2014. "Hedging European government bond portfolios during the recent sovereign debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 379-399.
    7. Jian Yang & Titus Awokuse, 2003. "Asset storability and hedging effectiveness in commodity futures markets," Applied Economics Letters, Taylor & Francis Journals, vol. 10(8), pages 487-491.
    8. Ghoddusi, Hamed & Emamzadehfard, Sahar, 2017. "Optimal hedging in the US natural gas market: The effect of maturity and cointegration," Energy Economics, Elsevier, vol. 63(C), pages 92-105.
    9. Jonathan Dark, 2004. "Long term hedging of the Australian All Ordinaries Index using a bivariate error correction FIGARCH model," Monash Econometrics and Business Statistics Working Papers 7/04, Monash University, Department of Econometrics and Business Statistics.
    10. McKenzie, Michael D. & Brooks, Robert D. & Faff, Robert W. & Ho, Yew Kee, 2000. "Exploring the economic rationale of extremes in GARCH generated betas The case of U.S. banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 40(1), pages 85-106.
    11. Gagnon, Louis & Lypny, Gregory J. & McCurdy, Thomas H., 1998. "Hedging foreign currency portfolios," Journal of Empirical Finance, Elsevier, vol. 5(3), pages 197-220, September.
    12. Donald Lien & Hsiang‐Tai Lee & Her‐Jiun Sheu, 2018. "Hedging systematic risk in the commodity market with a regime‐switching multivariate rotated generalized autoregressive conditional heteroskedasticity model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(12), pages 1514-1532, December.
    13. H. N. E. BystrOm, 2003. "The hedging performance of electricity futures on the Nordic power exchange," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 1-11.
    14. Choudhry, Taufiq, 2009. "Short-run deviations and time-varying hedge ratios: Evidence from agricultural futures markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 58-65, March.
    15. Anton Bekkerman, 2011. "Time‐varying hedge ratios in linked agricultural markets," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 179-200, August.
    16. Hsiang‐Tai Lee, 2022. "A Markov regime‐switching Cholesky GARCH model for directly estimating the dynamic of optimal hedge ratio," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 389-412, March.

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