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The Hedging Effectiveness of ECU Futures Contracts: Forecasting Evidence from an Error Correction Model

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  • Ghosh, Asim

Abstract

In this paper, the traditional price change hedge ratio estimation method is extended by applying the theory of cointegration in case of hedging with European Currency Unit (ECU) futures contracts. Previous studies ignore the last period's equilibrium error and short-run deviations. The findings of this study indicate that the hedge ratio estimated by the error correction method is superior to the one obtained from the traditional method, as evidenced by the likelihood ratio test and out-of-sample forecasts. Hedgers can control the risk of their portfolios more effectively at a lower cost. Copyright 1995 by MIT Press.

Suggested Citation

  • Ghosh, Asim, 1995. "The Hedging Effectiveness of ECU Futures Contracts: Forecasting Evidence from an Error Correction Model," The Financial Review, Eastern Finance Association, vol. 30(3), pages 567-581, August.
    • Handle: RePEc:bla:finrev:v:30:y:1995:i:3:p:567-81
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    Cited by:

    1. Dinica, Mihai Cristian & Armeanu, Daniel, 2014. "The Optimal Hedging Ratio for Non-Ferrous Metals," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 105-122, March.
    2. Ahmad Bash & Abdullah M. Al-Awadhi & Fouad Jamaani, 2016. "Measuring the Hedge Ratio: A GCC Perspective," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(7), pages 1-1, July.
    3. 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.
    4. 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.
    5. Ghosh, Asim, 1996. "Cross-Hedging Foreign Currency Risk: Empirical Evidence from an Error Correction Model," Review of Quantitative Finance and Accounting, Springer, vol. 6(3), pages 223-231, May.
    6. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2022. "The influence of the COVID-19 pandemic on the hedging functionality of Chinese financial markets," Research in International Business and Finance, Elsevier, vol. 59(C).
    7. David Shaffer & Andrea DeMaskey, 2005. "Currency Hedging Using the Mean-Gini Framework," Review of Quantitative Finance and Accounting, Springer, vol. 25(2), pages 125-137, September.
    8. Abdulnasser Hatemi-J & Eduardo Roca, 2006. "Calculating the optimal hedge ratio: constant, time varying and the Kalman Filter approach," Applied Economics Letters, Taylor & Francis Journals, vol. 13(5), pages 293-299.
    9. Qu, Hui & Wang, Tianyang & Zhang, Yi & Sun, Pengfei, 2019. "Dynamic hedging using the realized minimum-variance hedge ratio approach – Examination of the CSI 300 index futures," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    10. Zou, Gaolu & Chau, K.W., 2006. "Short- and long-run effects between oil consumption and economic growth in China," Energy Policy, Elsevier, vol. 34(18), pages 3644-3655, December.
    11. Young, Martin & Hogan, Warren & Batten, Jonathan, 2004. "The effectiveness of interest-rate futures contracts for hedging Japanese bonds of different credit quality and duration," International Review of Financial Analysis, Elsevier, vol. 13(1), pages 13-25.

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