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Hedging effectiveness comparisons: A note

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  • Lien, Donald
  • Shrestha, Keshab

Abstract

This note examines the hedging effectiveness of three hedge strategies on twenty-four commodity and financial markets. Lien (Lien, D., 2005a, The use and abuse of the hedging effectiveness measure, International Review of Financial Analysis 14, 277-282, Lien, D., 2005b, A note on the superiority of the OLS hedge ratio, Journal of Futures Markets 25, 1121-1126.) suggest that, absent from estimation errors, the minimum variance (MV) hedge ratio attains the maximum post-sample hedging effectiveness when there is no structural change across estimation and comparison samples. When comparing the MV strategy with the naïve hedge ratio, we find sufficiently strong support for the conclusion. On the other hand, driven by estimation errors, weaker support is produced when comparing MV and error correction (EC) hedge strategy.

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  • Lien, Donald & Shrestha, Keshab, 2008. "Hedging effectiveness comparisons: A note," International Review of Economics & Finance, Elsevier, vol. 17(3), pages 391-396.
    • Handle: RePEc:eee:reveco:v:17:y:2008:i:3:p:391-396
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    References listed on IDEAS

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    1. 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.
    2. Lien, Donald, 2005. "The use and abuse of the hedging effectiveness measure," International Review of Financial Analysis, Elsevier, vol. 14(2), pages 277-282.
    3. 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.
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    2. Dean Leistikow & Ren-Raw Chen, 2019. "Carry Cost Rate Regimes and Futures Hedge Ratio Variation," JRFM, MDPI, vol. 12(2), pages 1-17, May.
    3. Hammoudeh, Shawkat M. & Yuan, Yuan & McAleer, Michael & Thompson, Mark A., 2010. "Precious metals-exchange rate volatility transmissions and hedging strategies," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 633-647, October.
    4. Lumengo Bonga-Bonga & Ekerete Umoetok, 2016. "The effectiveness of index futures hedging in emerging markets during the crisis period of 2008-2010: Evidence from South Africa," Applied Economics, Taylor & Francis Journals, vol. 48(42), pages 3999-4018, September.
    5. Hung, Mao-Wei & Lin, Bing-Huei & Huang, Yu-Chuan & Chou, Jian-Hsin, 2011. "Determinants of futures contract success: Empirical examinations for the Asian futures markets," International Review of Economics & Finance, Elsevier, vol. 20(3), pages 452-458, June.
    6. Vollmer, Teresa & von Cramon-Taubadel, Stephan, 2019. "The influence of Brazilian exports on price transmission processes in the coffee sector: a Markov-switching approach," Department of Agricultural and Rural Development (DARE) Discussion Papers 291497, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
    7. Wan-Yi Chiu, 2020. "The global minimum variance hedge," Review of Derivatives Research, Springer, vol. 23(2), pages 121-144, July.
    8. Shalini, Velappan & Prasanna, Krishna, 2016. "Impact of the financial crisis on Indian commodity markets: Structural breaks and volatility dynamics," Energy Economics, Elsevier, vol. 53(C), pages 40-57.
    9. Vishwas B. & N. Sivakumar, 2016. "Mutual Fund Portfolio Hedging Using Index Futures: An Empirical Analysis," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 5(3), pages 203-210, August.
    10. Donald Lien & Ziling Wang & Xiaojian Yu, 2021. "Optimal quantile hedging under Markov regime switching," Empirical Economics, Springer, vol. 60(5), pages 2177-2201, May.

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