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Optimal hedge ratio and hedging effectiveness of stock index futures: evidence from India

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  • Saumitra Bhaduri
  • S. Raja Sethu Durai
Abstract
In a free capital mobile world with increased volatility, the need for an optimal hedge ratio and its effectiveness is warranted to design a better hedging strategy with future contracts. This study analyses four competing time series econometric models with daily data on NSE Stock Index Futures and S&P CNX Nifty Index. The effectiveness of the optimal hedge ratios is examined through the mean returns and the average variance reduction between the hedged and the unhedged positions for 1-, 5-, 10- and 20-day horizons. The results clearly show that the time-varying hedge ratio derived from the multivariate GARCH model has higher mean return and higher average variance reduction across hedged and unhedged positions. Even though not outperforming the GARCH model, the simple OLS-based strategy performs well at shorter time horizons. The potential use of this multivariate GARCH model cannot be sublined because of its estimation complexities. However, from a cost of computation point of view, one can equally consider the simple OLS strategy that performs well at the shorter time horizons.

Suggested Citation

  • Saumitra Bhaduri & S. Raja Sethu Durai, 2008. "Optimal hedge ratio and hedging effectiveness of stock index futures: evidence from India," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 1(1), pages 121-134.
    • Handle: RePEc:taf:macfem:v:1:y:2008:i:1:p:121-134
    DOI: 10.1080/17520840701859856
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    Citations

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    Cited by:

    1. Pandey, Ajay, 2008. "Hedging Effectiveness of Constant and Time Varying Hedge Ratio in Indian Stock and Commodity Futures Markets," IIMA Working Papers WP2008-06-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    2. Lerskullawat, Polwat, 2019. "Hedging Effectiveness on the Thailand Futures Exchange Market," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 26(2), December.
    3. 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.
    4. 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.
    5. Babu Jose & Nithin Jose, 2023. "Is Cross-Hedging Effective for Mitigating Equity Investment Risks in the Indian Banking Sector?," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 189-210, March.
    6. Olson, Eric & Vivian, Andrew & Wohar, Mark E., 2019. "What is a better cross-hedge for energy: Equities or other commodities?," Global Finance Journal, Elsevier, vol. 42(C).
    7. Shashi Gupta & Himanshu Choudhary & D.R. Agarwal, 2017. "Hedging Efficiency of Indian Commodity Futures," Paradigm, , vol. 21(1), pages 1-20, June.
    8. 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.
    9. ÇELİK, İsmail, 2021. "Optimal Hedge Ratio In Turkish Stock Index Futures Market: A Deco-Fiaparch Approach," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 25(4), pages 17-33, December.

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