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Short-run deviations and time-varying hedge ratios: Evidence from agricultural futures markets

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  • Choudhry, Taufiq

Abstract

This paper investigates the hedging effectiveness of time-varying hedge ratios in the agricultural commodities futures markets using four different versions of the GARCH models. The GARCH models applied are the standard bivariate GARCH, the bivariate BEKK GARCH, the bivariate GARCH-X and the bivariate BEKK GARCH-X. Futures data for corn, coffee, wheat, sugar, soybeans, live cattle and hogs are applied. Comparison of the hedging effectiveness is done for the within sample period (1980-2004), and two out-of-sample periods (2002-2004 and 2003-2004). Results indicate superior performance of the portfolios based on the GARCH-X model estimated hedge ratio during all periods.

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  • 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.
  • Handle: RePEc:eee:finana:v:18:y:2009:i:1-2:p:58-65
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    2. Raushan Kumar, 2021. "Predicting Wheat Futures Prices in India," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(1), pages 121-140, March.
    3. Białkowski, Jędrzej & Bohl, Martin T. & Perera, Devmali, 2023. "Commodity futures hedge ratios: A meta-analysis," Journal of Commodity Markets, Elsevier, vol. 30(C).
    4. Chiang, Shu-Mei & Chen, Chun-Da & Huang, Chien-Ming, 2019. "Analyzing the impacts of foreign exchange and oil price on biofuel commodity futures," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 37-48.
    5. Meenakshi Malhotra, 2015. "Evaluating the Hedging Performance of Oil and Oilseeds Futures in India," Paradigm, , vol. 19(2), pages 184-196, December.
    6. Naeem, Muhammad Abubakr & Hasan, Mudassar & Arif, Muhammad & Suleman, Muhammad Tahir & Kang, Sang Hoon, 2022. "Oil and gold as a hedge and safe-haven for metals and agricultural commodities with portfolio implications," Energy Economics, Elsevier, vol. 105(C).
    7. Michal Černý & Jan Pelikán, 2012. "A note on imperfect hedging: a method for testing stability of the hedge ratio," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 60(2), pages 45-50.
    8. Caporin, Massimiliano, 2013. "Equity and CDS sector indices: Dynamic models and risk hedging," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 261-275.
    9. Jędrzej Białkowski & Martin T. Bohl & Devmali Perera, 2022. "Commodity Futures Hedge Ratios: A Meta-Analysis," Working Papers in Economics 22/12, University of Canterbury, Department of Economics and Finance.
    10. Lu, Xinjie & Su, Yuandong & Huang, Dengshi, 2023. "Chinese agricultural futures volatility: New insights from potential domestic and global predictors," International Review of Financial Analysis, Elsevier, vol. 89(C).
    11. Habibeh Sherafatmand & Saeed Yazdani, 2014. "The management of price risk in Iranian dates: An application of futures instruments," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-12, December.
    12. Spencer, Simon & Bredin, Don & Conlon, Thomas, 2018. "Energy and agricultural commodities revealed through hedging characteristics: Evidence from developing and mature markets," Journal of Commodity Markets, Elsevier, vol. 9(C), pages 1-20.
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    14. Wen-Chung Hsu & Hsiang-Tai Lee, 2018. "Cross Hedging Stock Sector Risk with Index Futures by Considering the Global Equity Systematic Risk," IJFS, MDPI, vol. 6(2), pages 1-17, April.

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