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Hedging and Optimal Hedge Ratios for International Index Futures Markets

Author

Listed:
  • Cheng-Few Lee

    (School of Business, Rutgers University, Piscataway, New Jersey 08854-8054, USA)

  • Kehluh Wang

    (Graduate Institute of Finance, National Chiao Tung University, 1001 University Road, Hsinchu, 300, Taiwan)

  • Yan Long Chen

    (Taiwan International Securities Group, No. 97, Sec. 2, Dunhua S. Rd., Taipei, 106, Taiwan)

Abstract

This empirical study utilizes four static hedging models (OLS Minimum Variance Hedge Ratio, Mean-Variance Hedge Ratio, Sharpe Hedge Ratio, and MEG Hedge Ratio) and one dynamic hedging model (bivariate GARCH Minimum Variance Hedge Ratio) to find the optimal hedge ratios for Taiwan Stock Index Futures, S&P 500 Stock Index Futures, Nikkei 225 Stock Index Futures, Hang Seng Index Futures, Singapore Straits Times Index Futures, and Korean KOSPI 200 Index Futures. The effectiveness of these ratios is also evaluated. The results indicate that the methods of conducting optimal hedging in different markets are not identical. However, the empirical results confirm that stock index futures are effective direct hedging instruments, regardless of hedging schemes or hedging horizons.

Suggested Citation

  • Cheng-Few Lee & Kehluh Wang & Yan Long Chen, 2009. "Hedging and Optimal Hedge Ratios for International Index Futures Markets," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 593-610.
    • Handle: RePEc:wsi:rpbfmp:v:12:y:2009:i:04:n:s0219091509001769
    DOI: 10.1142/S0219091509001769
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    Citations

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    Cited by:

    1. Mohd Aminul Islam, 2017. "An Empirical Evaluation of Hedging Effectiveness of Crude Palm Oil Futures Market in Malaysia," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 3(11), pages 303-314, 11-2017.
    2. Alexandros Koulis & Constantinos Kyriakopoulos, 2021. "Hedge ratio estimation: A note on the Bitcoin future contract," Bulletin of Applied Economics, Risk Market Journals, vol. 8(2), pages 125-131.
    3. Troncoso Sepúlveda, Ricardo & Cabas Monje, Juan, 2019. "Factibilidad del uso de contratos de futuros del Chicago Mercantile Exchange para la cobertura del riesgo de precio en el ganado bovino chileno," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 90, pages 9-44, January.
    4. Dean Leistikow & Ren-Raw Chen, 2019. "Carry Cost Rate Regimes and Futures Hedge Ratio Variation," JRFM, MDPI, vol. 12(2), pages 1-17, May.
    5. Houdou Basse Mama & Stefan Mueller & Ulrich Pape, 2017. "What’s in the news? The ambiguity of the information content of index reconstitutions in Germany," Review of Quantitative Finance and Accounting, Springer, vol. 49(4), pages 1087-1119, November.
    6. Koulis Alexandros & Kaimakamis George & Beneki Christina, 2018. "Hedging effectiveness for international index futures markets," Economics and Business, Sciendo, vol. 32(1), pages 149-159, July.
    7. Juan Carlos Gutierrez Betancur, 2017. "Robust Estimation of beta and the hedging ratio in Stock Index Futures In the Integrated Latin American Market," Revista Ecos de Economía, Universidad EAFIT, vol. 21(44), pages 37-71, June.
    8. Dean Leistikow & Ren-Raw Chen & Yuewu Xu, 2022. "Spot asset carry cost rates and futures hedge ratios," Review of Quantitative Finance and Accounting, Springer, vol. 58(4), pages 1741-1779, May.
    9. Ricardo Troncoso-Sepúlveda & Juan Cabas-Monje, 2019. "Feasibility of using futures contracts of the Chicago Mercantile Exchange for hedging price risk in Chilean cattle," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 90, pages 9-44, Enero - J.
    10. Chang, Charles & Lin, Emily, 2015. "Cash-futures basis and the impact of market maturity, informed trading, and expiration effects," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 197-213.

    More about this item

    Keywords

    Optimal hedge ratio; index futures; hedging effectiveness; hedging horizon;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance

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