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Hedging with mini gold futures: evidence from Korea

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  • Seokchin Kim
  • Cheolho Park
  • Youngjun Yun

Abstract

This paper examines the hedging performance with mini gold futures traded on the Korean Exchange (KRX). We use the daily prices of gold and mini gold futures from September 13, 2010 to May 31, 2013. We employ the OLS model and VECM as well as the bivariate GJR-GARCH (1,1) model. Our empirical results maintain that the time varying GJR-GARCH (1,1) model yields better hedging performance than time-invariant OLS or VECM models in the both in-sample and out-of sample periods. We thus recommend that investors consider the asymmetric dynamic hedging model when constructing the minimum-variance hedging portfolio to manage the market risk exposure of gold. Copyright Eurasia Business and Economics Society 2014

Suggested Citation

  • Seokchin Kim & Cheolho Park & Youngjun Yun, 2014. "Hedging with mini gold futures: evidence from Korea," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 163-176, December.
    • Handle: RePEc:spr:eurase:v:4:y:2014:i:2:p:163-176
    DOI: 10.1007/s40822-014-0012-3
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    References listed on IDEAS

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    1. Leland L. Johnson, 1960. "The Theory of Hedging and Speculation in Commodity Futures," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 27(3), pages 139-151.
    2. Chau Le & Dickinson David, 2014. "Asset price volatility and financial contagion: analysis using the MS-VAR framework," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 133-162, December.
    3. Yanhui Chen & Kin Lai, 2013. "Examination on the Relationship Between VHSI, HSI and Future Realized Volatility With Kalman Filter," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 200-216, December.
    4. Kroner, Kenneth F. & Sultan, Jahangir, 1993. "Time-Varying Distributions and Dynamic Hedging with Foreign Currency Futures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(4), pages 535-551, December.
    5. Yanhui Chen & Kin Keung Lai, 2013. "Examination on the Relationship Between VHSI, HSI and Future Realized Volatility With Kalman Filter," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 200-216, December.
    6. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    7. Baillie, Richard T & Myers, Robert J, 1991. "Bivariate GARCH Estimation of the Optimal Commodity Futures Hedge," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(2), pages 109-124, April-Jun.
    8. Ederington, Louis H, 1979. "The Hedging Performance of the New Futures Markets," Journal of Finance, American Finance Association, vol. 34(1), pages 157-170, March.
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    Cited by:

    1. Sagi Akron, 2016. "Business cycles and the expectations of short-term central bank rates in light of Construal Level Theory," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 171-187, August.

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    More about this item

    Keywords

    Mini gold futures; Hedging performance; Bivariate GJR-GARCH (1; 1) model; G11; G12; G13; G17;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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